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The Kimball Group Reader: Relentlessly Practical Tools for Data Warehousing and Business Intelligence

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The Kimball Group Reader: Relentlessly Practical Tools for Data Warehousing and Business Intelligence Cover

 

Synopses & Reviews

Publisher Comments:

A collection of the most authoritative, detailed, and practical guidelines for data warehousing and business intelligence

Over the past 15 years, Ralph Kimball and his unparalleled team of colleagues have written articles covering more than 250 topics that have come to define the field of data warehousing (DW). The Kimball Group Reader presents the best of these articles, fully updated to reflect their current thinking and practices. Covering the complete lifecycle—including project planning, requirements gathering, dimensional modeling, ETL, and business intelligence (BI) and analytics—the authors provide detailed, technical guidance that expands beyond the Toolkit essentials to provide fresh insights and best practices.

The Reader begins with a group of articles that established the core insights and principles of data warehousing. The content that follows provides detailed guidance for every step of the data warehouse lifecycle, with in-depth, practical guidance that you can leverage for your own projects. After covering project planning and business requirements, the authors take a dive into all things dimensional. There are more than 100 articles on dimensional modeling alone. These articles have been fully revised, updated, and expanded where needed to reflect current best practices established by the Kimball Group.

With incomparable articles providing critical advice for successfully designing, deploying, and maintaining the DW/BI system, The Kimball Group Reader covers:

  • Dos and Don'ts for gathering requirements

  • The Kimball enterprise data warehouse architecture and matrix

  • Dimensional modeling tasks and responsibilities

  • Fact table and dimension table core concepts

  • Data stewardship for conforming dimensions

  • Granularity and three fundamental types of fact tables

  • Snowflakes and outriggers

  • Bridges for handling multi-valued dimension attributes and ragged variable hierarchies

  • Nuances encountered in customer dimensions and internationalization issues

  • Slowly changing dimensions and hybrid variations

  • Subsystems to extract, transform, and load (ETL) data

  • Pros and cons of using a commercial ETL tool

  • Server-oriented architecture, master data management, and packaged analytics

  • Front-room BI applications and data mining

  • Techniques for assessing a mature DW/BW environment and getting it back on track

Synopsis:

An unparalleled collection of recommended guidelines for data warehousing and business intelligence pioneered by Ralph Kimball and his team of colleagues from the Kimball Group.

Recognized and respected throughout the world as the most influential leaders in the data warehousing industry, Ralph Kimball and the Kimball Group have written articles covering more than 250 topics that define the field of data warehousing. For the first time, the Kimball Group's incomparable advice, design tips, and best practices have been gathered in this remarkable collection of articles, which spans a decade of data warehousing innovation.

Each group of articles is introduced with original commentaries that explain their role in the overall lifecycle methodology developed by the Kimball Group. These practical, hands-on articles are fully updated to reflect current practices and terminology and cover the complete lifecycle—including project planning, requirements gathering, dimensional modeling, ETL, and business intelligence and analytics.

This easily referenced collection is nothing less than vital if you are involved with data warehousing or business intelligence in any capacity.

About the Author

Ralph Kimball, PhD, is the Founder of the Kimball Group and a leading visionary in the data warehouse industry.

Margy Ross is President of the Kimball Group and has focused exclusively on DW/BI solutions since 1982.

Table of Contents

Introduction.

1 The Reader at a Glance.

Setting Up for Success.

1.1 Resist the Urge to Start Coding.

1.2 Set Your Boundaries.

1.3 Data Wrangling.

1.4 Myth Busters.

1.5 Dividing the World.

1.6 Essential Steps for the Integrated Enterprise Data Warehouse.

1.7 Drill Down to Ask Why.

1.8 Slowly Changing Dimensions.

1.9 Judge Your BI Tool through Your Dimensions.

1.10 Fact Tables.

1.11 Exploit Your Fact Tables.

2 Before You Dive In.

Historical Perspective.

2.1 The Database Market Splits.

2.2 Bringing Up Supermarts.

2.3 Brave New Requirements for Data Warehousing.

2.4 Coping with the Brave New Requirements.

2.5 Stirring Things Up.

2.6 Design Constraints and Unavoidable Realities.

2.7 Two Powerful Ideas.

2.8 Data Warehouse Dining Experience.

3 Project/Program Planning.

Professional Responsibilities.

3.1 Professional Boundaries.

3.2 An Engineer’s View.

3.3 Beware the Objection Removers.

3.4 What Does the Central Team Do?

3.5 Avoid DW/BI Isolation.

3.6 Implementation Analysis Paralysis.

3.7 Habits of Effective Sponsors.

3.8 TCO Starts with the End User.

3.9 Better Business Skills for BI and Data Warehouse Professionals.

3.10 Kimball Lifecycle in a Nutshell.

3.11 Off the Bench.

3.12 The Anti-Architect.

3.13 Think Critically When Applying Best Practices.

3.14 Eight Guidelines for Low Risk Enterprise Data Warehousing.

3.15 Relating to Agile Methodologies.

3.16 Is Agile Enterprise Data Warehousing an Oxymoron?

4 Requirements Definition.

Gathering Requirements.

4.1 Alan Alda’s Interviewing Tips for Uncovering.

4.2 More Business Requirements Gathering Dos and Don'ts.

4.3 Overcoming Obstacles When Gathering Business Requirements.

4.4 Surprising Value of Data Profiling.

4.5 Focus on Business Processes, Not Business Departments!

4.6 Identifying Business Processes.

4.7 Business Process Decoder Ring.

4.8 Relationship between Strategic Business Initiatives and Business Processes.

4.9 The Bottom-Up Misnomer.

5 Data Architecture.

Making the Case for Dimensional Modeling.

5.1 Is ER Modeling Hazardous to DSS?

5.2 A Dimensional Modeling Manifesto.

5.3 There Are No Guarantees.

5.4 Divide and Conquer.

5.5 The Matrix.

5.6 The Matrix: Revisited.

5.7 Drill Down into a Detailed Bus Matrix.

Integration Instead of Centralization.

5.8 Integration for Real People.

5.9 Data Stewardship 101: The First Step to Quality and Consistency .

5.10 To Be or Not To Be Centralized.

5.11 Differences of Opinion.

5.12 Don't Support Business Intelligence with a Normalized EDW.

6 Dimensional Modeling Fundamentals.

Basics of Dimensional Modeling.

6.1 Fact Tables and Dimension Tables.

6.2 Drilling Down, Up, and Across.

6.3 The Soul of the Data Warehouse, Part One: Drilling Down.

6.4 The Soul of the Data Warehouse, Part Two: Drilling Across.

6.5 The Soul of the Data Warehouse, Part Three: Handling Time.

6.6 Graceful Modifications to Existing Fact and Dimension Tables.

6.7 Kimball’s Ten Essential Rules of Dimensional Modeling.

6.8 What Not to Do.

6.9 Dangerous Preconceptions.

6.10 Fables and Facts.

7 Dimensional Modeling Tasks and Responsibilities.

Design Activities.

7.1 Letting the Users Sleep.

7.2 Staffing the Dimensional Modeling Team.

7.3 Practical Steps for Designing a Dimensional Model.

7.4 The Naming Game.

7.5 When Is the Dimensional Design Done?

7.6 Fistful of Flaws.

7.7 Rating Your Dimensional Data Warehouse.

8 Fact Table Core Concepts.

Granularity.

8.1 Declaring the Grain.

8.2 Keep to the Grain in Dimensional Modeling.

8.3 Warning: Summary Data May Be Hazardous to Your Health.

8.4 No Detail Too Small.

8.5 Fundamental Grains.

8.6 Modeling a Pipeline with an Accumulating Snapshot.

8.7 Combining Periodic and Accumulating Snapshots.

8.8 Modeling Time Spans.

8.9 A Rolling Prediction of the Future, Now and in the Past.

8.10 Factless Fact Tables.

8.11 Factless Fact Tables? Sound Like Jumbo Shrimp?

8.12 What Didn't Happen.

8.13 Managing Your Parents.

8.14 Patterns to Avoid When Modeling Header/Line Item Transactions.

8.15 Fact Table Surrogate Keys.

8.16 Reader Suggestions on Fact Table Surrogate Keys.

8.17 Another Look at Degenerate Dimensions.

8.18 Creating a Reference Dimension for Infrequently Accessed Degenerates.

8.19 Put Your Fact Tables on a Diet.

8.20 Keeping Text Out of the Fact Table.

8.21 Dealing with Nulls in a Dimensional Model.

8.22 Modeling Data as Both a Fact and Dimension Attribute.

8.23 When a Fact Table Can Be Used as a Dimension Table.

8.24 Sparse Facts and Facts with Short Lifetimes.

8.25 Pivoting the Fact Table with a Fact Dimension.

9 Dimension Table Core Concepts.

Dimension Table Keys.

9.1 Surrogate Keys.

9.2 Keep Your Keys Simple.

9.3 It's Time for Time.

9.4 Surrogate Keys for the Time Dimension.

9.5 Latest Thinking on Time Dimension Tables.

9.6 Smart Date Keys to Partition Fact Tables.

9.7 Handling All the Dates.

Miscellaneous Dimension Patterns.

9.8 Data Warehouse Role Models.

9.9 Mystery Dimensions.

9.10 De-Clutter with Junk Dimensions.

9.11 Showing the Correlation Between Dimensions.

9.12 Causal (Not Casual) Dimensions.

9.13 Resist Abstract Generic Dimensions.

9.14 Hot-Swappable Dimensions.

9.15 Accurate Counting with a Dimensional Supplement.

9.16 Perfectly Partitioning History with Type 2 SCD.

9.17 Many Alternate Realities.

9.18 Monster Dimensions.

9.19 When a Slowly Changing Dimension Speeds Up.

9.20 When Do Dimensions Become Dangerous?

9.21 Slowly Changing Dimensions Are Not Always as Easy as 1, 2, and 3.

9.22 Dimension Row Change Reason Attributes.

10 More Dimension Patterns and Case Studies.

Snowflakes, Outriggers, and Bridges.

10.1 Snowflakes, Outriggers, and Bridges.

10.2 A Trio of Interesting Snowflakes.

10.3 Help for Dimensional Modeling.

10.4 Managing Bridge Tables.

10.5 The Keyword Dimension.

10.6 Maintaining Dimension Hierarchies.

10.7 Help for Hierarchies.

10.8 Five Alternatives for Better Employee Dimensional Modeling.

10.9 Alternate Hierarchies.

10.10 Dimension Embellishments.

10.11 Wrangling Behavior Tags.

10.12 Three Ways to Capture Customer Satisfaction.

10.13 Think Globally, Act Locally.

10.14 Warehousing without Borders.

10.15 Spatially Enabling Your Data Warehouse.

10.16 Multinational Dimensional Data Warehouse Considerations.

10.17 An Insurance Data Warehouse Case Study.

10.18 Traveling through Databases.

10.19 Human Resources Dimensional Models.

10.20 Not So Fast.

10.21 The Budgeting Chain.

10.22 Compliance-Enabled Data Warehouses.

10.23 Clicking with Your Customer.

10.24 The Special Dimensions of the Clickstream.

10.25 Fact Tables for Text Document Searching.

10.26 Enabling Market Basket Analysis.

11 Back Room ETL and Data Quality.

Planning the ETL System.

11.1 Surrounding the ETL Requirements.

11.2 The 34 Subsystems of ETL.

11.3 Doing the Work at Extract Time.

11.4 Is Data Staging Relational?

11.5 Staging Areas and ETL Tools.

11.6 Should You Use an ETL Tool?

11.7 Document the ETL System.

11.8 Measure Twice, Cut Once.

11.9 Brace for Incoming.

11.10 Building a Change Data Capture System.

Data Quality Considerations.

11.11 Dealing with Dirty Data.

11.12 An Architecture for Data Quality.

11.13 Indicators of Quality.

11.14 Is Your Data Correct?

11.15 Eight Recommendations for International Data Quality.

11.16 Using Regular Expressions for Data Cleaning.

11.17 Pipelining Your Surrogates.

11.18 Replicating Dimensions Correctly.

11.19 Identify Dimension Changes Using Cyclic Redundancy Checksums.

11.20 Maintaining Back Pointers to Operational Sources.

11.21 Creating Historical Dimension Rows.

11.22 Backward in Time.

11.23 Early-Arriving Facts.

11.24 Slowly Changing Entities.

11.25 Creating, Using, and Maintaining Junk Dimensions.

11.26 Using the SQL MERGE for Slowly Changing Dimensions.

11.27 Being Offline as Little as Possible.

11.28 Working in Web Time.

11.29 Real-Time Partitions.

11.30 The Real-Time Triage.

12 Technical Architecture Considerations.

Overall Technical/System Architecture.

12.1 Can the Data Warehouse Benefit from SOA?

12.2 Picking the Right Approach to MDM.

12.3 Building Custom Tools for the DW/BI System.

12.4 Welcoming the Packaged App.

12.5 ERP Vendors: Bring Down Those Walls.

12.6 Building a Foundation for Smart Applications.

12.7 RFID Tags and Smart Dust.

12.8 The Aggregate Navigator.

12.9 Aggregate Navigation with (Almost) No Metadata.

12.10 Relating to OLAP.

12.11 Dimensional Relational versus OLAP: The Final Deployment Conundrum.

12.12 Dimensional Modeling for Microsoft Analysis Services.

12.13 Architecting Your Data for Microsoft SQL Server 2005.

12.14 Microsoft SQL Server Comes of Age for Data Warehousing.

12.15 The Second Revolution of User Interfaces.

12.16 Designing the User Interface.

12.17 Meta Meta Data Data.

12.18 Creating the Metadata Strategy.

12.19 Watching the Watchers.

12.20 Catastrophic Failure.

12.21 Digital Preservation.

12.22 Creating the Advantages of a 64-Bit Server.

12.23 Server Configuration Considerations.

12.24 Adjust Your Thinking for SANs.

13 Front Room Business Intelligence Applications.

Delivering Value with Business Intelligence.

13.1 The Promise of Decision Support.

13.2 Beyond Paving the Cow Paths.

13.3 Big Shifts Happening in BI.

13.4 Behavior: The Next Marquee Application.

Implementing the Business Intelligence Layer.

13.5 Think Like a Software Development Manager.

13.6 Standard Reports: Basics for Business Users.

13.7 Building and Delivering BI Reports.

13.8 The BI Portal.

13.9 Dashboards Done Right.

13.10 Don’t Be Overly Reliant on Your Data Access Tool’s Metadata.

Mining Data to Uncover Relationships.

13.11 Digging into Data Mining.

13.12 Preparing for Data Mining.

13.13 The Perfect Handoff.

13.14 Get Started with Data Mining Now.

Dealing with SQL.

13.15 Simple Drill Across in SQL.

13.16 The Problem with Comparisons.

13.17 SQL Roadblocks and Pitfalls.

13.18 Features for Query Tools.

13.19 Turbocharge Your Query Tools.

13.20 Smarter Data Warehouses.

14 Maintenance and Growth Considerations.

Deploying Successfully.

14.1 Don’t Forget the Owner's Manual.

14.2 Let’s Improve Our Operating Procedures.

14.3 Marketing the DW/BI System.

14.4 Coping with Growing Pains.

Sustaining for Ongoing Impact.

14.5 Data Warehouse Checkups.

14.6 Boosting Business Acceptance.

14.7 Educate Management to Sustain DW/BI Success.

14.8 Getting Your Data Warehouse Back on Track.

14.9 Upgrading Your BI Architecture.

14.10 Four Fixes for Legacy Data Warehouses.

14.11 A Data Warehousing Fitness Program for Lean Times.

Index of Articles.

Index.

Product Details

ISBN:
9780470563106
Author:
Kimball, Ralph
Publisher:
Wiley Publishing
With:
Becker, Bob
Author:
Beck, Bob
Author:
Becker, Bob
Author:
Ross, Margy
Author:
Mundy, Joy
Author:
Thornthwaite, Warren
Author:
er
Subject:
Database Management - General
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
Database & Data Warehousing Technologies
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
nagement system, centralized DW/BI systems, change data capture, choice presentation in web-oriented data warehouse, claims transations fact table, insurance case study, classification queries,
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
AP, alternate reality, type 3 SCD, An Introduction to Database Systems (Chris Date), analytic application lifecycle, five stages, analytics matrix tracking, analytic application reports, analytic tools, analytics matrix, Analytics Workshop, AND queries, a
Subject:
e area network (SAN), surrogate key processing pipeline, time handling, architecture phase, data marts, archiving, historical letters case study, encapsulating and emulating strategy, examples of very long term requirements, limitations of media, formats,
Subject:
ffline, averaging over time, awkward formats, B-tree indexes, back pointers to operational systems, back room, backup and recovery use cases, backup system, ETL subsystem #23, backupsdata staging, objection removers, balance transactions, BEEP, begin- and
Subject:
mps, correctly weighted report, Brin, David (The Transparent Society: Will Technology Force Us to Choose Between Privacy and Freedom?), browse a dimension, BI tool user interface design, budgeting case study, budgeting data aligned with planning data, bug
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
iness processesas basis of dimensional models, versus departments, fact table grain, identifying, consequences of incorrect, subject areas, tying to strategic initiatives with matrix, business realignment, business reengineering, calendar date dimension d
Subject:
Database design
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
type 3 SCD, An Introduction to Database Systems (Chris Date), analytic application lifecycle, five stages, analytics matrix tracking, analytic application reports, analytic tools, analytics matrix, Analytics Workshop, AND queries, architecture, address ma
Subject:
surrogate key processing pipeline, time handling, architecture phase, data marts, archiving, historical letters case study, encapsulating and emulating strategy, examples of very long term requirements, limitations of media, formats, software, hardware, m
Subject:
time, awkward formats, B-tree indexes, back pointers to operational systems, back room, backup and recovery use cases, backup system, ETL subsystem #23, backupsdata staging, objection removers, balance transactions, BEEP, begin- and end-effective time sta
Subject:
d report, Brin, David (The Transparent Society: Will Technology Force Us to Choose Between Privacy and Freedom?), browse a dimension, BI tool user interface design, budgeting case study, budgeting data aligned with planning data, bug tracking system, bus
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
nts, ad hoc attack, Adaptive Software Development, additive facts, declaring in metadata, non-additive example, semi-additive example, address cleaning and standardizing, international addresses, administration criteria for dimensional DWs, administrative
Subject:
sibilities, goals for data warehouse, metadata requirements, objection removers, positive and negative impacts, removing from real time partition, server configurations, shrunken dimension tables, aggregation, when premature defeats drill down, agile deve
Subject:
tools, analytics matrix, Analytics Workshop, AND queries, architecture, address matching and standardizing, aggregate navigation articles, archiving, long term preservation, BI architecture articles, BI comparison queries, BI portal, dashboards, BI upgrad
Subject:
very long term requirements, limitations of media, formats, software, hardware, metadata examples, migrate and refresh strategy, requirements affecting ETL design, very long term digital preservation, Atkinson, Toby, multinational name and address resourc
Subject:
, objection removers, balance transactions, BEEP, begin- and end-effective time stamps, behavior analysis, from clickstream, market basket analysis, purchase behavior security risks, behavior dimension, behavior tags, recency, frequency, intensity, behavi
Subject:
g case study, budgeting data aligned with planning data, bug tracking system, bus architecture, bus matrix, business acceptance, Business Dimensional Lifecycle (Kimball Lifecycle), business intelligence, business needs affecting ETL design, business phase
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
omer satisfaction dimension, airport role playing dimensions, Alda, Alan, interviewing skills, allocating costs, danger of implementing, conflicting requirements, allocation, environments, allocation rules for calculating profit, compliance requirements,
Subject:
ng articles, data quality, distributed EDW, drilling across, drilling down, EDW diagram, ETL, 34 subsystems of, FTP-based integration, integrated EDW, late arriving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL S
Subject:
s core foundation, atomic grain, dimensionality, atomic-level behavior data, audit columns for change data capture, audit dimension, assembler, ETL subsystem #6, data quality measures, detailed design, environmental descriptors, in data mining, fact table
Subject:
rocedures, BI (Business Intelligence) applications, architecture, blended development approach, top-down and bottom up, building interpersonal skills, building public speaking skills, building written communication skills, understanding the business world
Subject:
subject areas, tying to strategic initiatives with matrix, business realignment, business reengineering, calendar date dimension design, centralized customer management system, centralized DW/BI systems, change data capture, choice presentation in web-ori
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
, interviewing skills, allocating costs, danger of implementing, conflicting requirements, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, su
Subject:
wn, EDW diagram, ETL, 34 subsystems of, FTP-based integration, integrated EDW, late arriving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and tim
Subject:
ata, audit columns for change data capture, audit dimension, assembler, ETL subsystem #6, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverag
Subject:
d development approach, top-down and bottom up, building interpersonal skills, building public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, leg
Subject:
ignment, business reengineering, calendar date dimension design, centralized customer management system, centralized DW/BI systems, change data capture, choice presentation in web-oriented data warehouse, claims transations fact table, insurance case stud
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing st
Subject:
andards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles, data warehouse lifecycle, data warehouse methodology, data warehouse architecture, business intelligence, business requi
Subject:
sion roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to be expected, fact table loader, ETL subsystem #13, real time partition, accurate counting, combining CASE and SUM, actio
Subject:
OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate processing during ETL, aggregated data anticipates the business question, data quality reporting, aggregated dimensional model
Subject:
ent fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, implementing in OLAP, alternate reality, type 3 SCD, An Introduction to Database Systems (Chris Date), analytic application l
Subject:
re, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture (SOA), storage area network (SAN), surrogate key processing pipeline, time handling, architecture phase, data marts, arc
Subject:
factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, taking aggregates offline, averaging over time, awkward formats, B-tree indexes, back pointers to operational systems, back ro
Subject:
algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effective time stamps, correctly weighted report, Brin, David (The Transparent Society: Will Technology Force Us to Choose Be
Subject:
ms transations fact table, insurance case study, classification queries,
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design,
Subject:
environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, taking aggregates offline, averaging over time,
Subject:
ommunication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effective time stamps, correctly weighted repo
Subject:
, change data capture, choice presentation in web-oriented data warehouse, claims transations fact table, insurance case study, classification queries,
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
e costs, admissions, university, accumulating snapshot example, affinity grouping data mining, market basket example, aggregate builder, ETL subsystem #19, aggregate data quality measures, aggregate fact table definition, aggregate navigation criterion fo
Subject:
elopment approach, Agile Manifesto, AI (artificial intelligence), airline flight segment database design, airline yield KPI use case, airline customer satisfaction dimension, airport role playing dimensions, Alda, Alan, interviewing skills, allocating cos
Subject:
ading unsuccessful, bus architecture, catastrophe protection, change data capture, criteria, dimensional DWs, data architecture chapter, data mining articles, data quality, distributed EDW, drilling across, drilling down, EDW diagram, ETL, 34 subsystems o
Subject:
rce, atomic data, as basis of dimensional models, drilling down, normalized form, storage architectures, CIF versus Kimball, atomic fact tables, as core foundation, atomic grain, dimensionality, atomic-level behavior data, audit columns for change data ca
Subject:
ioral queries, non-behavior, Berry, Michael and Linoff, Gordon, data mining books, best practices building DW/BI systems, establishing operating procedures, BI (Business Intelligence) applications, architecture, blended development approach, top-down and
Subject:
e of data mining, business processesas basis of dimensional models, versus departments, fact table grain, identifying, consequences of incorrect, subject areas, tying to strategic initiatives with matrix, business realignment, business reengineering, cale
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ted EDW, drilling across, drilling down, EDW diagram, ETL, 34 subsystems of, FTP-based integration, integrated EDW, late arriving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real
Subject:
mensionality, atomic-level behavior data, audit columns for change data capture, audit dimension, assembler, ETL subsystem #6, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless
Subject:
e) applications, architecture, blended development approach, top-down and bottom up, building interpersonal skills, building public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm
Subject:
nitiatives with matrix, business realignment, business reengineering, calendar date dimension design, centralized customer management system, centralized DW/BI systems, change data capture, choice presentation in web-oriented data warehouse, claims transa
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
itive facts, declaring in metadata, non-additive example, semi-additive example, address cleaning and standardizing, international addresses, administration criteria for dimensional DWs, administrative costs, admissions, university, accumulating snapshot
Subject:
ments, objection removers, positive and negative impacts, removing from real time partition, server configurations, shrunken dimension tables, aggregation, when premature defeats drill down, agile development approach, Agile Manifesto, AI (artificial inte
Subject:
ies, architecture, address matching and standardizing, aggregate navigation articles, archiving, long term preservation, BI architecture articles, BI comparison queries, BI portal, dashboards, BI upgrading unsuccessful, bus architecture, catastrophe prote
Subject:
rmats, software, hardware, metadata examples, migrate and refresh strategy, requirements affecting ETL design, very long term digital preservation, Atkinson, Toby, multinational name and address resource, atomic data, as basis of dimensional models, drill
Subject:
n- and end-effective time stamps, behavior analysis, from clickstream, market basket analysis, purchase behavior security risks, behavior dimension, behavior tags, recency, frequency, intensity, behavioral queries, non-behavior, Berry, Michael and Linoff,
Subject:
a, bug tracking system, bus architecture, bus matrix, business acceptance, Business Dimensional Lifecycle (Kimball Lifecycle), business intelligence, business needs affecting ETL design, business phase of data mining, business processesas basis of dimensi
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
fresh strategy, requirements affecting ETL design, very long term digital preservation, Atkinson, Toby, multinational name and address resource, atomic data, as basis of dimensional models, drilling down, normalized form, storage architectures, CIF versus
Subject:
ickstream, market basket analysis, purchase behavior security risks, behavior dimension, behavior tags, recency, frequency, intensity, behavioral queries, non-behavior, Berry, Michael and Linoff, Gordon, data mining books, best practices building DW/BI sy
Subject:
ss acceptance, Business Dimensional Lifecycle (Kimball Lifecycle), business intelligence, business needs affecting ETL design, business phase of data mining, business processesas basis of dimensional models, versus departments, fact table grain, identifyi
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ts, analytic tools, analytics matrix, Analytics Workshop, AND queries, architecture, address matching and standardizing, aggregate navigation articles, archiving, long term preservation, BI architecture articles, BI comparison queries, BI portal, dashboar
Subject:
examples of very long term requirements, limitations of media, formats, software, hardware, metadata examples, migrate and refresh strategy, requirements affecting ETL design, very long term digital preservation, Atkinson, Toby, multinational name and add
Subject:
data staging, objection removers, balance transactions, BEEP, begin- and end-effective time stamps, behavior analysis, from clickstream, market basket analysis, purchase behavior security risks, behavior dimension, behavior tags, recency, frequency, inten
Subject:
gn, budgeting case study, budgeting data aligned with planning data, bug tracking system, bus architecture, bus matrix, business acceptance, Business Dimensional Lifecycle (Kimball Lifecycle), business intelligence, business needs affecting ETL design, bu
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
ng data, bug tracking system, bus architecture, bus matrix, business acceptance, Business Dimensional Lifecycle (Kimball Lifecycle), business intelligence, business needs affecting ETL design, business phase of data mining, business processesas basis of d
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
ior analysis, from clickstream, market basket analysis, purchase behavior security risks, behavior dimension, behavior tags, recency, frequency, intensity, behavioral queries, non-behavior, Berry, Michael and Linoff, Gordon, data mining books, best practi
Subject:
e, bus matrix, business acceptance, Business Dimensional Lifecycle (Kimball Lifecycle), business intelligence, business needs affecting ETL design, business phase of data mining, business processesas basis of dimensional models, versus departments, fact t
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
rsus dimensional modeling, incompleteness, primary criticism, query complexity, performance for BI queries, real data, redundancy, uniqueness, usability, CIF use of 3NF, abstract dimensions, abused users, accumulating snapshot fact table, combining with p
Subject:
ilder, ETL subsystem #19, aggregate data quality measures, aggregate fact table definition, aggregate navigation criterion for dimensional DW, dimensional modeling advantages, of dissimilar fact table grains, main architecture articles, main algorithm, me
Subject:
se, airline customer satisfaction dimension, airport role playing dimensions, Alda, Alan, interviewing skills, allocating costs, danger of implementing, conflicting requirements, allocation, environments, allocation rules for calculating profit, complianc
Subject:
apter, data mining articles, data quality, distributed EDW, drilling across, drilling down, EDW diagram, ETL, 34 subsystems of, FTP-based integration, integrated EDW, late arriving data handling, Lifecycle place for, master data management (MDM), metadata
Subject:
c fact tables, as core foundation, atomic grain, dimensionality, atomic-level behavior data, audit columns for change data capture, audit dimension, assembler, ETL subsystem #6, data quality measures, detailed design, environmental descriptors, in data mi
Subject:
hing operating procedures, BI (Business Intelligence) applications, architecture, blended development approach, top-down and bottom up, building interpersonal skills, building public speaking skills, building written communication skills, understanding th
Subject:
s of incorrect, subject areas, tying to strategic initiatives with matrix, business realignment, business reengineering, calendar date dimension design, centralized customer management system, centralized DW/BI systems, change data capture, choice present
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place
Subject:
for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture (SOA), storage area network (SAN),
Subject:
esign, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, taking aggregates offline, averaging ove
Subject:
itten communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effective time stamps, correctly weight
Subject:
systems, change data capture, choice presentation in web-oriented data warehouse, claims transations fact table, insurance case study, classification queries,
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
L subsystem #23, backupsdata staging, objection removers, balance transactions, BEEP, begin- and end-effective time stamps, behavior analysis, from clickstream, market basket analysis, purchase behavior security risks, behavior dimension, behavior tags, r
Subject:
tool user interface design, budgeting case study, budgeting data aligned with planning data, bug tracking system, bus architecture, bus matrix, business acceptance, Business Dimensional Lifecycle (Kimball Lifecycle), business intelligence, business needs
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fa
Subject:
ct tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, taking aggregates offline, averaging over time, awkward formats, B-tree indexes, back pointe
Subject:
ss world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effective time stamps, correctly weighted report, Brin, David (The Transparent Society: Wil
Subject:
web-oriented data warehouse, claims transations fact table, insurance case study, classification queries,
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
analytic application lifecycle, five stages, analytics matrix tracking, analytic application reports, analytic tools, analytics matrix, Analytics Workshop, AND queries, architecture, address matching and standardizing, aggregate navigation articles, archi
Subject:
phase, data marts, archiving, historical letters case study, encapsulating and emulating strategy, examples of very long term requirements, limitations of media, formats, software, hardware, metadata examples, migrate and refresh strategy, requirements af
Subject:
tional systems, back room, backup and recovery use cases, backup system, ETL subsystem #23, backupsdata staging, objection removers, balance transactions, BEEP, begin- and end-effective time stamps, behavior analysis, from clickstream, market basket analy
Subject:
y Force Us to Choose Between Privacy and Freedom?), browse a dimension, BI tool user interface design, budgeting case study, budgeting data aligned with planning data, bug tracking system, bus architecture, bus matrix, business acceptance, Business Dimens
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
matrix, business acceptance, Business Dimensional Lifecycle (Kimball Lifecycle), business intelligence, business needs affecting ETL design, business phase of data mining, business processesas basis of dimensional models, versus departments, fact table gr
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
g, conflicting requirements, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension,
Subject:
integrated EDW, late arriving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, serv
Subject:
ssembler, ETL subsystem #6, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, mini
Subject:
personal skills, building public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in ba
Subject:
n, centralized customer management system, centralized DW/BI systems, change data capture, choice presentation in web-oriented data warehouse, claims transations fact table, insurance case study, classification queries,
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architectu
Subject:
re (SOA), storage area network (SAN), surrogate key processing pipeline, time handling, architecture phase, data marts, archiving, historical letters case study, encapsulating and emulating strategy, examples of very long term requirements, limitations of
Subject:
ing aggregates offline, averaging over time, awkward formats, B-tree indexes, back pointers to operational systems, back room, backup and recovery use cases, backup system, ETL subsystem #23, backupsdata staging, objection removers, balance transactions,
Subject:
fective time stamps, correctly weighted report, Brin, David (The Transparent Society: Will Technology Force Us to Choose Between Privacy and Freedom?), browse a dimension, BI tool user interface design, budgeting case study, budgeting data aligned with pl
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
emulating strategy, examples of very long term requirements, limitations of media, formats, software, hardware, metadata examples, migrate and refresh strategy, requirements affecting ETL design, very long term digital preservation, Atkinson, Toby, multin
Subject:
bsystem #23, backupsdata staging, objection removers, balance transactions, BEEP, begin- and end-effective time stamps, behavior analysis, from clickstream, market basket analysis, purchase behavior security risks, behavior dimension, behavior tags, recen
Subject:
user interface design, budgeting case study, budgeting data aligned with planning data, bug tracking system, bus architecture, bus matrix, business acceptance, Business Dimensional Lifecycle (Kimball Lifecycle), business intelligence, business needs affec
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
pplication reports, analytic tools, analytics matrix, Analytics Workshop, AND queries, architecture, address matching and standardizing, aggregate navigation articles, archiving, long term preservation, BI architecture articles, BI comparison queries, BI
Subject:
lating strategy, examples of very long term requirements, limitations of media, formats, software, hardware, metadata examples, migrate and refresh strategy, requirements affecting ETL design, very long term digital preservation, Atkinson, Toby, multinati
Subject:
tem #23, backupsdata staging, objection removers, balance transactions, BEEP, begin- and end-effective time stamps, behavior analysis, from clickstream, market basket analysis, purchase behavior security risks, behavior dimension, behavior tags, recency,
Subject:
r interface design, budgeting case study, budgeting data aligned with planning data, bug tracking system, bus architecture, bus matrix, business acceptance, Business Dimensional Lifecycle (Kimball Lifecycle), business intelligence, business needs affectin
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, v
Subject:
ersion number in audit dimension, computing on the fly, implementing in OLAP, alternate reality, type 3 SCD, An Introduction to Database Systems (Chris Date), analytic application lifecycle, five stages, analytics matrix tracking, analytic application rep
Subject:
curity, separating IT systems, service oriented architecture (SOA), storage area network (SAN), surrogate key processing pipeline, time handling, architecture phase, data marts, archiving, historical letters case study, encapsulating and emulating strateg
Subject:
ailability of data warehouse, minimizing offline time, taking aggregates offline, averaging over time, awkward formats, B-tree indexes, back pointers to operational systems, back room, backup and recovery use cases, backup system, ETL subsystem #23, backu
Subject:
tables, account to customer in banking, begin- and end-effective time stamps, correctly weighted report, Brin, David (The Transparent Society: Will Technology Force Us to Choose Between Privacy and Freedom?), browse a dimension, BI tool user interface des
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
storage area network (SAN), surrogate key processing pipeline, time handling, architecture phase, data marts, archiving, historical letters case study, encapsulating and emulating strategy, examples of very long term requirements, limitations of media, fo
Subject:
gates offline, averaging over time, awkward formats, B-tree indexes, back pointers to operational systems, back room, backup and recovery use cases, backup system, ETL subsystem #23, backupsdata staging, objection removers, balance transactions, BEEP, beg
Subject:
ime stamps, correctly weighted report, Brin, David (The Transparent Society: Will Technology Force Us to Choose Between Privacy and Freedom?), browse a dimension, BI tool user interface design, budgeting case study, budgeting data aligned with planning da
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
mer management system, centralized DW/BI systems, change data capture, choice presentation in web-oriented data warehouse, claims transations fact table, insurance case study, classification queries,
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
drilling across, drilling down, EDW diagram, ETL, 34 subsystems of, FTP-based integration, integrated EDW, late arriving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROL
Subject:
ity, atomic-level behavior data, audit columns for change data capture, audit dimension, assembler, ETL subsystem #6, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact tabl
Subject:
ations, architecture, blended development approach, top-down and bottom up, building interpersonal skills, building public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boun
Subject:
s with matrix, business realignment, business reengineering, calendar date dimension design, centralized customer management system, centralized DW/BI systems, change data capture, choice presentation in web-oriented data warehouse, claims transations fac
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools,
Subject:
recommended data warehouse architecture, aggregate navigator, aggregate processing during ETL, aggregated data anticipates the business question, data quality reporting, aggregated dimensional models, aggregates, administration with Type 1 SCD, design req
Subject:
rules of thumb, version number in audit dimension, computing on the fly, implementing in OLAP, alternate reality, type 3 SCD, An Introduction to Database Systems (Chris Date), analytic application lifecycle, five stages, analytics matrix tracking, analyti
Subject:
of dimensions, security, separating IT systems, service oriented architecture (SOA), storage area network (SAN), surrogate key processing pipeline, time handling, architecture phase, data marts, archiving, historical letters case study, encapsulating and
Subject:
ce case study, availability of data warehouse, minimizing offline time, taking aggregates offline, averaging over time, awkward formats, B-tree indexes, back pointers to operational systems, back room, backup and recovery use cases, backup system, ETL sub
Subject:
users, 4-6bridge tables, account to customer in banking, begin- and end-effective time stamps, correctly weighted report, Brin, David (The Transparent Society: Will Technology Force Us to Choose Between Privacy and Freedom?), browse a dimension, BI tool u
Subject:
cation queries,
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
troduction to Database Systems (Chris Date), analytic application lifecycle, five stages, analytics matrix tracking, analytic application reports, analytic tools, analytics matrix, Analytics Workshop, AND queries, architecture, address matching and standa
Subject:
essing pipeline, time handling, architecture phase, data marts, archiving, historical letters case study, encapsulating and emulating strategy, examples of very long term requirements, limitations of media, formats, software, hardware, metadata examples,
Subject:
mats, B-tree indexes, back pointers to operational systems, back room, backup and recovery use cases, backup system, ETL subsystem #23, backupsdata staging, objection removers, balance transactions, BEEP, begin- and end-effective time stamps, behavior ana
Subject:
vid (The Transparent Society: Will Technology Force Us to Choose Between Privacy and Freedom?), browse a dimension, BI tool user interface design, budgeting case study, budgeting data aligned with planning data, bug tracking system, bus architecture, bus
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written
Subject:
communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effective time stamps, correctly weighted rep
Subject:
s, change data capture, choice presentation in web-oriented data warehouse, claims transations fact table, insurance case study, classification queries,
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
ment database design, airline yield KPI use case, airline customer satisfaction dimension, airport role playing dimensions, Alda, Alan, interviewing skills, allocating costs, danger of implementing, conflicting requirements, allocation, environments, allo
Subject:
riteria, dimensional DWs, data architecture chapter, data mining articles, data quality, distributed EDW, drilling across, drilling down, EDW diagram, ETL, 34 subsystems of, FTP-based integration, integrated EDW, late arriving data handling, Lifecycle pla
Subject:
orage architectures, CIF versus Kimball, atomic fact tables, as core foundation, atomic grain, dimensionality, atomic-level behavior data, audit columns for change data capture, audit dimension, assembler, ETL subsystem #6, data quality measures, detailed
Subject:
est practices building DW/BI systems, establishing operating procedures, BI (Business Intelligence) applications, architecture, blended development approach, top-down and bottom up, building interpersonal skills, building public speaking skills, building
Subject:
ts, fact table grain, identifying, consequences of incorrect, subject areas, tying to strategic initiatives with matrix, business realignment, business reengineering, calendar date dimension design, centralized customer management system, centralized DW/B
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query
Subject:
tools, recommended data warehouse architecture, aggregate navigator, aggregate processing during ETL, aggregated data anticipates the business question, data quality reporting, aggregated dimensional models, aggregates, administration with Type 1 SCD, des
Subject:
tuting rules of thumb, version number in audit dimension, computing on the fly, implementing in OLAP, alternate reality, type 3 SCD, An Introduction to Database Systems (Chris Date), analytic application lifecycle, five stages, analytics matrix tracking,
Subject:
riance of dimensions, security, separating IT systems, service oriented architecture (SOA), storage area network (SAN), surrogate key processing pipeline, time handling, architecture phase, data marts, archiving, historical letters case study, encapsulati
Subject:
insurance case study, availability of data warehouse, minimizing offline time, taking aggregates offline, averaging over time, awkward formats, B-tree indexes, back pointers to operational systems, back room, backup and recovery use cases, backup system,
Subject:
and end users, 4-6bridge tables, account to customer in banking, begin- and end-effective time stamps, correctly weighted report, Brin, David (The Transparent Society: Will Technology Force Us to Choose Between Privacy and Freedom?), browse a dimension, B
Subject:
lassification queries,
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
cy and Freedom?), browse a dimension, BI tool user interface design, budgeting case study, budgeting data aligned with planning data, bug tracking system, bus architecture, bus matrix, business acceptance, Business Dimensional Lifecycle (Kimball Lifecycle
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
non-behavior, Berry, Michael and Linoff, Gordon, data mining books, best practices building DW/BI systems, establishing operating procedures, BI (Business Intelligence) applications, architecture, blended development approach, top-down and bottom up, buil
Subject:
ng, business processesas basis of dimensional models, versus departments, fact table grain, identifying, consequences of incorrect, subject areas, tying to strategic initiatives with matrix, business realignment, business reengineering, calendar date dime
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
building interpersonal skills, building public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to
Subject:
imension design, centralized customer management system, centralized DW/BI systems, change data capture, choice presentation in web-oriented data warehouse, claims transations fact table, insurance case study, classification queries,
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
g term digital preservation, Atkinson, Toby, multinational name and address resource, atomic data, as basis of dimensional models, drilling down, normalized form, storage architectures, CIF versus Kimball, atomic fact tables, as core foundation, atomic gr
Subject:
ty risks, behavior dimension, behavior tags, recency, frequency, intensity, behavioral queries, non-behavior, Berry, Michael and Linoff, Gordon, data mining books, best practices building DW/BI systems, establishing operating procedures, BI (Business Inte
Subject:
cycle), business intelligence, business needs affecting ETL design, business phase of data mining, business processesas basis of dimensional models, versus departments, fact table grain, identifying, consequences of incorrect, subject areas, tying to stra
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
versus dimensional modeling, incompleteness, primary criticism, query complexity, performance for BI queries, real data, redundancy, uniqueness, usability, CIF use of 3NF, abstract dimensions, abused users, accumulating snapshot fact table, combining with
Subject:
builder, ETL subsystem #19, aggregate data quality measures, aggregate fact table definition, aggregate navigation criterion for dimensional DW, dimensional modeling advantages, of dissimilar fact table grains, main architecture articles, main algorithm,
Subject:
case, airline customer satisfaction dimension, airport role playing dimensions, Alda, Alan, interviewing skills, allocating costs, danger of implementing, conflicting requirements, allocation, environments, allocation rules for calculating profit, complia
Subject:
chapter, data mining articles, data quality, distributed EDW, drilling across, drilling down, EDW diagram, ETL, 34 subsystems of, FTP-based integration, integrated EDW, late arriving data handling, Lifecycle place for, master data management (MDM), metada
Subject:
omic fact tables, as core foundation, atomic grain, dimensionality, atomic-level behavior data, audit columns for change data capture, audit dimension, assembler, ETL subsystem #6, data quality measures, detailed design, environmental descriptors, in data
Subject:
lishing operating procedures, BI (Business Intelligence) applications, architecture, blended development approach, top-down and bottom up, building interpersonal skills, building public speaking skills, building written communication skills, understanding
Subject:
nces of incorrect, subject areas, tying to strategic initiatives with matrix, business realignment, business reengineering, calendar date dimension design, centralized customer management system, centralized DW/BI systems, change data capture, choice pres
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
vation, BI architecture articles, BI comparison queries, BI portal, dashboards, BI upgrading unsuccessful, bus architecture, catastrophe protection, change data capture, criteria, dimensional DWs, data architecture chapter, data mining articles, data qual
Subject:
ry long term digital preservation, Atkinson, Toby, multinational name and address resource, atomic data, as basis of dimensional models, drilling down, normalized form, storage architectures, CIF versus Kimball, atomic fact tables, as core foundation, ato
Subject:
security risks, behavior dimension, behavior tags, recency, frequency, intensity, behavioral queries, non-behavior, Berry, Michael and Linoff, Gordon, data mining books, best practices building DW/BI systems, establishing operating procedures, BI (Busines
Subject:
l Lifecycle), business intelligence, business needs affecting ETL design, business phase of data mining, business processesas basis of dimensional models, versus departments, fact table grain, identifying, consequences of incorrect, subject areas, tying t
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
egy, requirements affecting ETL design, very long term digital preservation, Atkinson, Toby, multinational name and address resource, atomic data, as basis of dimensional models, drilling down, normalized form, storage architectures, CIF versus Kimball, a
Subject:
market basket analysis, purchase behavior security risks, behavior dimension, behavior tags, recency, frequency, intensity, behavioral queries, non-behavior, Berry, Michael and Linoff, Gordon, data mining books, best practices building DW/BI systems, esta
Subject:
ce, Business Dimensional Lifecycle (Kimball Lifecycle), business intelligence, business needs affecting ETL design, business phase of data mining, business processesas basis of dimensional models, versus departments, fact table grain, identifying, consequ
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
nagement system, centralized DW/BI systems, change data capture, choice presentation in web-oriented d
Subject:
ata warehouse, claims transations fact table, insurance case study, classification queries,
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact t
Subject:
able, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, taking aggregates offline, averaging over time, awkward formats, B-tree indexes, back pointers to operational systems, back room, backup and
Subject:
oundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effective time stamps, correctly weighted report, Brin, David (The Transparent Society: Will Technology Force Us to Choose Between Privacy a
Subject:
fact table, insurance case study, classification queries,
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business worl
Subject:
d, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effective time stamps, correctly weighted report, Brin, David (The Transparent Society: Will Techn
Subject:
iented data warehouse, claims transations fact table, insurance case study, classification queries,
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
able, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, taking aggregates offline, averaging over time, awkward formats, B-tree indexes, back pointers to operational systems, back room, backup and
Subject:
oundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effective time stamps, correctly weighted report, Brin, David (The Transparent Society: Will Technology Force Us to Choose Between Privacy a
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
d, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effective time stamps, correctly weighted report, Brin, David (The Transparent Society: Will Techn
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
able, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, taking aggregates offline, averaging over time, awkward formats, B-tree indexes, back pointers to operational systems, back room, backup and
Subject:
oundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effective time stamps, correctly weighted report, Brin, David (The Transparent Society: Will Technology Force Us to Choose Between Privacy a
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
d, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effective time stamps, correctly weighted report, Brin, David (The Transparent Society: Will Techn
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data w
Subject:
arehouse architecture, aggregate navigator, aggregate processing during ETL, aggregated data anticipates the business question, data quality reporting, aggregated dimensional models, aggregates, administration with Type 1 SCD, design requirements, fact pr
Subject:
rsion number in audit dimension, computing on the fly, implementing in OLAP, alternate reality, type 3 SCD, An Introduction to Database Systems (Chris Date), analytic application lifecycle, five stages, analytics matrix tracking, analytic application repo
Subject:
urity, separating IT systems, service oriented architecture (SOA), storage area network (SAN), surrogate key processing pipeline, time handling, architecture phase, data marts, archiving, historical letters case study, encapsulating and emulating strategy
Subject:
ilability of data warehouse, minimizing offline time, taking aggregates offline, averaging over time, awkward formats, B-tree indexes, back pointers to operational systems, back room, backup and recovery use cases, backup system, ETL subsystem #23, backup
Subject:
tables, account to customer in banking, begin- and end-effective time stamps, correctly weighted report, Brin, David (The Transparent Society: Will Technology Force Us to Choose Between Privacy and Freedom?), browse a dimension, BI tool user interface des
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
able, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, taking aggregates offline, averaging over time, awkward formats, B-tree indexes, back pointers to operational systems, back room, backup and
Subject:
oundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effective time stamps, correctly weighted report, Brin, David (The Transparent Society: Will Technology Force Us to Choose Between Privacy a
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
d, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effective time stamps, correctly weighted report, Brin, David (The Transparent Society: Will Techn
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobil
Subject:
e policy coverages, insurance case study, availability of data warehouse, minimizing offline time, taking aggregates offline, averaging over time, awkward formats, B-tree indexes, back pointers to operational systems, back room, backup and recovery use ca
Subject:
finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effective time stamps, correctly weighted report, Brin, David (The Transparent Society: Will Technology Force Us to Choose Between Privacy and Freedom?), b
Subject:
urance case study, classification queries,
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
egative impacts, removing from real time partition, server configurations, shrunken dimension tables, aggregation, when premature defeats drill down, agile development approach, Agile Manifesto, AI (artificial intelligence), airline flight segment databas
Subject:
tandardizing, aggregate navigation articles, archiving, long term preservation, BI architecture articles, BI comparison queries, BI portal, dashboards, BI upgrading unsuccessful, bus architecture, catastrophe protection, change data capture, criteria, dim
Subject:
les, migrate and refresh strategy, requirements affecting ETL design, very long term digital preservation, Atkinson, Toby, multinational name and address resource, atomic data, as basis of dimensional models, drilling down, normalized form, storage archit
Subject:
r analysis, from clickstream, market basket analysis, purchase behavior security risks, behavior dimension, behavior tags, recency, frequency, intensity, behavioral queries, non-behavior, Berry, Michael and Linoff, Gordon, data mining books, best practice
Subject:
bus matrix, business acceptance, Business Dimensional Lifecycle (Kimball Lifecycle), business intelligence, business needs affecting ETL design, business phase of data mining, business processesas basis of dimensional models, versus departments, fact tabl
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
rehouse, data warehousing article, books by ralph kimball, kimball university, data warehouse ralph kimball, kimball articles, ralph kimball boulder creek, ralph kimball associates, 34 subsystems of ETL, 64 bit architectures for data warehouse, 2NF (secon
Subject:
oftware Development, additive facts, declaring in metadata, non-additive example, semi-additive example, address cleaning and standardizing, international addresses, administration criteria for dimensional DWs, administrative costs, admissions, university
Subject:
ehouse, metadata requirements, objection removers, positive and negative impacts, removing from real time partition, server configurations, shrunken dimension tables, aggregation, when premature defeats drill down, agile development approach, Agile Manife
Subject:
ytics Workshop, AND queries, architecture, address matching and standardizing, aggregate navigation articles, archiving, long term preservation, BI architecture articles, BI comparison queries, BI portal, dashboards, BI upgrading unsuccessful, bus archite
Subject:
limitations of media, formats, software, hardware, metadata examples, migrate and refresh strategy, requirements affecting ETL design, very long term digital preservation, Atkinson, Toby, multinational name and address resource, atomic data, as basis of d
Subject:
transactions, BEEP, begin- and end-effective time stamps, behavior analysis, from clickstream, market basket analysis, purchase behavior security risks, behavior dimension, behavior tags, recency, frequency, intensity, behavioral queries, non-behavior, Be
Subject:
ligned with planning data, bug tracking system, bus architecture, bus matrix, business acceptance, Business Dimensional Lifecycle (Kimball Lifecycle), business intelligence, business needs affecting ETL design, business phase of data mining, business proc
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
e policy coverages, insurance case study, availability of data warehouse, minimizing offline time, taking aggregates offline, averaging over time, awkward formats, B-tree indexes, back pointers to operational systems, back room, backup and recovery use ca
Subject:
finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effective time stamps, correctly weighted report, Brin, David (The Transparent Society: Will Technology Force Us to Choose Between Privacy and Freedom?), b
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
egative impacts, removing from real time partition, server configurations, shrunken dimension tables, aggregation, when premature defeats drill down, agile development approach, Agile Manifesto, AI (artificial intelligence), airline flight segment databas
Subject:
tandardizing, aggregate navigation articles, archiving, long term preservation, BI architecture articles, BI comparison queries, BI portal, dashboards, BI upgrading unsuccessful, bus architecture, catastrophe protection, change data capture, criteria, dim
Subject:
les, migrate and refresh strategy, requirements affecting ETL design, very long term digital preservation, Atkinson, Toby, multinational name and address resource, atomic data, as basis of dimensional models, drilling down, normalized form, storage archit
Subject:
r analysis, from clickstream, market basket analysis, purchase behavior security risks, behavior dimension, behavior tags, recency, frequency, intensity, behavioral queries, non-behavior, Berry, Michael and Linoff, Gordon, data mining books, best practice
Subject:
bus matrix, business acceptance, Business Dimensional Lifecycle (Kimball Lifecycle), business intelligence, business needs affecting ETL design, business phase of data mining, business processesas basis of dimensional models, versus departments, fact tabl
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
able, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, taking aggregates offline, averaging over time, awkward formats, B-tree indexes, back pointers to operational systems, back room, backup and
Subject:
oundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effective time stamps, correctly weighted report, Brin, David (The Transparent Society: Will Technology Force Us to Choose Between Privacy a
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
d, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effective time stamps, correctly weighted report, Brin, David (The Transparent Society: Will Techn
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
able, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, taking aggregates offline, averaging over time, awkward formats, B-tree indexes, back pointers to operational systems, back room, backup and
Subject:
oundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effective time stamps, correctly weighted report, Brin, David (The Transparent Society: Will Technology Force Us to Choose Between Privacy a
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
d, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effective time stamps, correctly weighted report, Brin, David (The Transparent Society: Will Techn
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
omic data, as basis of dimensional models, drilling down, normalized form, storage architectures, CIF versus Kimball, atomic fact tables, as core foundation, atomic grain, dimensionality, atomic-level behavior data, audit columns for change data capture,
Subject:
ueries, non-behavior, Berry, Michael and Linoff, Gordon, data mining books, best practices building DW/BI systems, establishing operating procedures, BI (Business Intelligence) applications, architecture, blended development approach, top-down and bottom
Subject:
ta mining, business processesas basis of dimensional models, versus departments, fact table grain, identifying, consequences of incorrect, subject areas, tying to strategic initiatives with matrix, business realignment, business reengineering, calendar da
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
basis of dimensional models, versus departments, fact table grain, identifying, consequences of incorrect, subject areas, tying to strategic initiatives with matrix, business realignment, business reengineering, calendar date dimension design, centralized
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, enviro
Subject:
nmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, taking aggregates offline, averaging over time, awkwa
Subject:
cation skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effective time stamps, correctly weighted report, Br
Subject:
ge data capture, choice presentation in web-oriented data warehouse, claims transations fact table, insurance case study, classification queries,
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
ining books, best practices building DW/BI systems, establishing operating procedures, BI (Business Intelligence) applications, architecture, blended development approach, top-down and bottom up, building interpersonal skills, building public speaking ski
Subject:
rsus departments, fact table grain, identifying, consequences of incorrect, subject areas, tying to strategic initiatives with matrix, business realignment, business reengineering, calendar date dimension design, centralized customer management system, ce
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
ministrative costs, admissions, university, accumulating snapshot example, affinity grouping data mining, market basket example, aggregate builder, ETL subsystem #19, aggregate data quality measures, aggregate fact table definition, aggregate navigation c
Subject:
, agile development approach, Agile Manifesto, AI (artificial intelligence), airline flight segment database design, airline yield KPI use case, airline customer satisfaction dimension, airport role playing dimensions, Alda, Alan, interviewing skills, all
Subject:
ds, BI upgrading unsuccessful, bus architecture, catastrophe protection, change data capture, criteria, dimensional DWs, data architecture chapter, data mining articles, data quality, distributed EDW, drilling across, drilling down, EDW diagram, ETL, 34 s
Subject:
dress resource, atomic data, as basis of dimensional models, drilling down, normalized form, storage architectures, CIF versus Kimball, atomic fact tables, as core foundation, atomic grain, dimensionality, atomic-level behavior data, audit columns for cha
Subject:
sity, behavioral queries, non-behavior, Berry, Michael and Linoff, Gordon, data mining books, best practices building DW/BI systems, establishing operating procedures, BI (Business Intelligence) applications, architecture, blended development approach, to
Subject:
siness phase of data mining, business processesas basis of dimensional models, versus departments, fact table grain, identifying, consequences of incorrect, subject areas, tying to strategic initiatives with matrix, business realignment, business reengine
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
chitecture phase, data marts, archiving, historical letters case study, encapsulating and emulating strategy, examples of very long term requirements, limitations of media, formats, software, hardware, metadata examples, migrate and refresh strategy, requ
Subject:
s to operational systems, back room, backup and recovery use cases, backup system, ETL subsystem #23, backupsdata staging, objection removers, balance transactions, BEEP, begin- and end-effective time stamps, behavior analysis, from clickstream, market ba
Subject:
Technology Force Us to Choose Between Privacy and Freedom?), browse a dimension, BI tool user interface design, budgeting case study, budgeting data aligned with planning data, bug tracking system, bus architecture, bus matrix, business acceptance, Busine
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
Subject:
of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
Subject:
s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
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ct dimensions, abused users, accumulating snapshot fact table, combining with periodic and transaction grains, date dimension roles, comparison to other grains,pipelines and short processes, procurement example, university and admissions example, nulls to
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of dissimilar fact table grains, main architecture articles, main algorithm, metadata and, minimum metadata requirement, OLAP considerations, query tool discipline, query tools, recommended data warehouse architecture, aggregate navigator, aggregate proce
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s, allocation, environments, allocation rules for calculating profit, compliance requirements, allocations, income statement fact tables, profitability fact tables, substituting rules of thumb, version number in audit dimension, computing on the fly, impl
Subject:
ving data handling, Lifecycle place for, master data management (MDM), metadata Microsoft SQL Server 2005 data architecture, real time, ROLAP versus OLAP, SCDs and time variance of dimensions, security, separating IT systems, service oriented architecture
Subject:
, data quality measures, detailed design, environmental descriptors, in data mining, fact tables, automobile collisions, factless fact table, automobile policy coverages, insurance case study, availability of data warehouse, minimizing offline time, takin
Subject:
public speaking skills, building written communication skills, understanding the business world, bottom-up market basket algorithm, 423boundaries with finance, IT, legal, and end users, 4-6bridge tables, account to customer in banking, begin- and end-effe
Subject:
Ralph Kimball, books by Ralph Kimball, the Kimball Group, data warehousing, data warehousing methods, data warehousing standards, data warehousing best practices, data warehousing advice, data warehousing articles, collection of data warehousing articles,
Subject:
, dimensional modeling; star schema; data warehouse design, kimball data warehouse, data warehouse, data warehousing article, books by ralph kimball, kimball university, data warehouse ralph kimball, kimball articles, ralph kimball boulder creek, ralph ki
Subject:
d costing difficult environments for, modeling income statements, ad hoc attack, Adaptive Software Development, additive facts, declaring in metadata, non-additive example, semi-additive example, address cleaning and standardizing, international addresses
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on with Type 1 SCD, design requirements, fact provider responsibilities, goals for data warehouse, metadata requirements, objection removers, positive and negative impacts, removing from real time partition, server configurations, shrunken dimension table
Subject:
ytics matrix tracking, analytic application reports, analytic tools, analytics matrix, Analytics Workshop, AND queries, architecture, address matching and standardizing, aggregate navigation articles, archiving, long term preservation, BI architecture art
Subject:
case study, encapsulating and emulating strategy, examples of very long term requirements, limitations of media, formats, software, hardware, metadata examples, migrate and refresh strategy, requirements affecting ETL design, very long term digital preser
Subject:
cases, backup system, ETL subsystem #23, backupsdata staging, objection removers, balance transactions, BEEP, begin- and end-effective time stamps, behavior analysis, from clickstream, market basket analysis, purchase behavior security risks, behavior dim
Subject:
, browse a dimension, BI tool user interface design, budgeting case study, budgeting data aligned with planning data, bug tracking system, bus architecture, bus matrix, business acceptance, Business Dimensional Lifecycle (Kimball Lifecycle), business inte
Copyright:
Publication Date:
20100311
Binding:
TRADE PAPER
Language:
English
Illustrations:
Y
Pages:
744
Dimensions:
9.22x7.38x1.56 in. 2.30 lbs.

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The Kimball Group Reader: Relentlessly Practical Tools for Data Warehousing and Business Intelligence New Trade Paper
0 stars - 0 reviews
$56.95 Backorder
Product details 744 pages Wiley Publishing - English 9780470563106 Reviews:
"Synopsis" by , An unparalleled collection of recommended guidelines for data warehousing and business intelligence pioneered by Ralph Kimball and his team of colleagues from the Kimball Group.

Recognized and respected throughout the world as the most influential leaders in the data warehousing industry, Ralph Kimball and the Kimball Group have written articles covering more than 250 topics that define the field of data warehousing. For the first time, the Kimball Group's incomparable advice, design tips, and best practices have been gathered in this remarkable collection of articles, which spans a decade of data warehousing innovation.

Each group of articles is introduced with original commentaries that explain their role in the overall lifecycle methodology developed by the Kimball Group. These practical, hands-on articles are fully updated to reflect current practices and terminology and cover the complete lifecycle—including project planning, requirements gathering, dimensional modeling, ETL, and business intelligence and analytics.

This easily referenced collection is nothing less than vital if you are involved with data warehousing or business intelligence in any capacity.

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