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The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights

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The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights Cover

ISBN13: 9780071745321
ISBN10: 0071745327
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Synopses & Reviews

Publisher Comments:

Proven strategies for implementing the right data warehouse and business intelligence solutions for current and future business needs

In The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights, business intelligence and data warehousing expert Robert Laberge explains the components and different alternatives in building a data warehouse and describes pros and cons for choosing one path over another. Building a data warehouse is unique for each organization but can be guided by the author's years of knowledge obtained from working on many differing data warehouse and business intelligence environments in organizations around the world.

The book covers practical and technical aspects of current data warehouse and business intelligence issues with views on realistic solutions within the management and technical arenas. Data warehousing topics are first presented from a high-level overview to ensure the terminology and context is understood, and are then covered in deeper detail to clarify the specifics. These topics all pertain to data warehousing, business intelligence, and performance management.

The Data Warehouse MentorExplains the proper implementation of the many available technologies and practicesShares the author's nearly 30 years of data warehouse and business intelligence experience in more than 20 countries worldwideMentors you to success in determining and deploying the most effective data warehouse and business intelligence solutions for your businessHelps you anticipate future data requirements and usage to ensure the design and build environment for your solution is flexible and open to change

Complete coverage:

Data Warehouse and Business Intelligence Overview; Data in the Organization; Reasons for Building; Business Intelligence and Data Warehouse Strategy - The Plan; Project Resources - Roles and Insights; Write it Up - Overview; Business Intelligence: Data Marts & Usage; Enterprise Data Models; Data Warehouse Architecture; ETL and Data Quality; Project Planning; Working Scenarios - Hands On; Data Governance; Post Project Review

Book News Annotation:

This guide to data warehouse design and implementation provides theoretical and practical advice for developing well reasoned, objective specific, yet scalable, business solutions. Beginning with an overview of data warehouse and management concepts, the volume covers the preparation of data and infrastructure, components of an effective data warehouse schema and implementation scenarios including data governance standards and post-project reviews. Chapters include numerous tables and work-flow illustrations. Laberge is a consultant to the IBM industry Models and Assets Lab. Annotation ©2011 Book News, Inc., Portland, OR (booknews.com)

Synopsis:

Develop a custom, agile data warehousing and business intelligence architecture

Empower your users and drive better decision making across your enterprise with detailed instructions and best practices from an expert developer and trainer. The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights shows how to plan, design, construct, and administer an integrated end-to-end DW/BI solution. Learn how to choose appropriate components, build an enterprise data model, configure data marts and data warehouses, establish data flow, and mitigate risk. Change management, data governance, and security are also covered in this comprehensive guide.

Understand the components of BI and data warehouse systems Establish project goals and implement an effective deployment plan Build accurate logical and physical enterprise data models Gain insight into your company's transactions with data mining Input, cleanse, and normalize data using ETL (Extract, Transform, and Load) techniques Use structured input files to define data requirements Employ top-down, bottom-up, and hybrid design methodologies Handle security and optimize performance using data governance tools

Robert Laberge is the founder of several Internet ventures and a principle consultant for the IBM Industry Models and Assets Lab, which has a focus on data warehousing and business intelligence solutions.

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bluesea3000, August 10, 2013 (view all comments by bluesea3000)
Very good book!!
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Product Details

ISBN:
9780071745321
Author:
Laberge, Robert
Publisher:
McGraw-Hill/Osborne Media
Author:
LaBerge, Robert
Subject:
Database-Data Warehousing
Publication Date:
20110531
Binding:
TRADE PAPER
Language:
English

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » Enterprise Applications » Business Intelligence Tools
Computers and Internet » Database » Database Management
Computers and Internet » Database » Design
Computers and Internet » Database » General
Engineering » Mechanical Engineering » General

The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights New Trade Paper
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$54.00 In Stock
Product details pages McGraw-Hill/Osborne Media - English 9780071745321 Reviews:
"Synopsis" by , Develop a custom, agile data warehousing and business intelligence architecture

Empower your users and drive better decision making across your enterprise with detailed instructions and best practices from an expert developer and trainer. The Data Warehouse Mentor: Practical Data Warehouse and Business Intelligence Insights shows how to plan, design, construct, and administer an integrated end-to-end DW/BI solution. Learn how to choose appropriate components, build an enterprise data model, configure data marts and data warehouses, establish data flow, and mitigate risk. Change management, data governance, and security are also covered in this comprehensive guide.

Understand the components of BI and data warehouse systems Establish project goals and implement an effective deployment plan Build accurate logical and physical enterprise data models Gain insight into your company's transactions with data mining Input, cleanse, and normalize data using ETL (Extract, Transform, and Load) techniques Use structured input files to define data requirements Employ top-down, bottom-up, and hybrid design methodologies Handle security and optimize performance using data governance tools

Robert Laberge is the founder of several Internet ventures and a principle consultant for the IBM Industry Models and Assets Lab, which has a focus on data warehousing and business intelligence solutions.

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