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Emily St. John Mandel: IMG Powell’s Q&A: Emily St. John Mandel



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1 Local Warehouse Database- Design

Mastering Data Warehouse Design: Relational and Dimensional Techniques

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Mastering Data Warehouse Design: Relational and Dimensional Techniques Cover

ISBN13: 9780471324218
ISBN10: 0471324213
Condition: Standard
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Synopses & Reviews

Publisher Comments:

At last, a balanced approach to data warehousing that leverages the techniques pioneered by Ralph Kimball and Bill Inmon

Since its groundbreaking inception, the approach to understanding data warehousing has been split into two mindsets: Ralph Kimball, who pioneered the use of dimensional modeling techniques for building the data warehouse, and Bill Inmon, who introduced the Corporate Information Factory and leads those who believe in using relational modeling techniques for the data warehouse. Mastering Data Warehouse Design successfully merges Inmon’s data ware- house design philosophies with Kimball’s data mart design philosophies to provide you with a compelling and complete overview of exactly what is involved in designing and building a sustainable and extensible data warehouse.

Most data warehouse managers, designers, and developers are familiar with the open letter written by Ralph Kimball in 2001 to the data warehouse community in which he challenged those in the Inmon camp to answer some tough questions about the effectiveness of the relational approach. Cowritten by one of the best-known experts of the Inmon approach, Claudia Imhoff, this team of authors addresses head-on the challenging questions raised by Kimball in his letter and offers a how-to guide on the appropriate use of both relational and dimensional modeling in a comprehensive business intelligence environment. In addition, you’ll learn the authors’ take on issues such as:

  • Which approach has been found most successful in data warehouse environments at companies spanning virtually all major industrial sectors
  • The pros and cons of relational vs. dimensional modeling techniques so developers can decide on the best approach for their projects
  • Why the architecture should include a data warehouse built on relational data modeling concepts
  • The construction and utilization of keys, the historical nature of the data warehouse, hierarchies, and transactional data
  • Technical issues needed to ensure that the data warehouse design meets appropriate performance expectations
  • Relational modeling techniques for ensuring optimum data warehouse performance and handling changes to data over time

Book News Annotation:

Bill Inmon, one of the pioneers of data warehouses for business, defined a warehouse "a subject-oriented, integrated, time variant, and non-volatile collection of data used in strategic decision making." This text brings together Inmon's relational modeling approach to warehouses with other design philosophies more reliant on dimensional modeling. The authors describe types of data models used for different "business intelligence" functions, explore the step-by-step construction of a data warehouse model, and discuss deployment issues and common problems.
Annotation ©2004 Book News, Inc., Portland, OR (booknews.com)

Synopsis:

Includes bibliographical references (p. 409-410) and index.

Synopsis:

  • A cutting-edge response to Ralph Kimball's challenge to the data warehouse community that answers some tough questions about the effectiveness of the relational approach to data warehousing
  • Written by one of the best-known exponents of the Bill Inmon approach to data warehousing
  • Addresses head-on the tough issues raised by Kimball and explains how to choose the best modeling technique for solving common data warehouse design problems
  • Weighs the pros and cons of relational vs. dimensional modeling techniques
  • Focuses on tough modeling problems, including creating and maintaining keys and modeling calendars, hierarchies, transactions, and data quality

About the Author

CLAUDIA IMHOFF (CImhoff@Intelsols.com) is President and Founder of Intelligent Solutions, a leading consultancy on analytic CRM and BI technologies and strategies. She is a popular speaker, an internationally recognized expert, and coauthor of five books.

NICHOLAS GALEMMO (ngalemmo@yahoo.com) was Information Architect at Nestlé USA. He has twenty-seven years’ experience as a practitioner and consultant involved in all aspects of application systems design and development. He is currently an independent consultant.

JONATHAN G. GEIGER (JGeiger@IntelSols.com) is Executive Vice President at Intelligent Solutions, Inc. In his thirty years as a practitioner and consultant, he has managed or performed work in virtually every aspect of information management.

Table of Contents

Acknowledgments.

About the Authors.

PART ONE: CONCEPTS.

Chapter 1. Introduction.

Chapter 2. Fundamental Relational Concepts.

PART TWO: MODEL DEVELOPMENT.

Chapter 3. Understanding the Business Model.

Chapter 4. Developing the Model.

Chapter 5. Creating and Maintaining Keys.

Chapter 6. Modeling the Calendar.

Chapter 7. Modeling Hierarchies.

Chapter 8. Modeling Transactions.

Chapter 9. Data Warehouse Optimization.

PART THREE: OPERATION AND MANAGEMENT.

Chapter 10. Accommodating Business Change.

Chapter 11. Maintaining the Models.

Chapter 12. Deploying the Relational Solution.

Chapter 13. Comparison of Data Warehouse Methodologies.

Glossary.

Recommended Reading.

Index.

What Our Readers Are Saying

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Average customer rating based on 1 comment:

keshri verma, May 29, 2008 (view all comments by keshri verma)
Data warehouse and Mining is one of the thrust area of research today. Synopsis of this book shows it is very useful for UG and PG students of engineering and Computer Science.

Keshri
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Product Details

ISBN:
9780471324218
Author:
Imhoff, Claudia
Publisher:
John Wiley & Sons
Author:
Geiger, Jonathan G.
Author:
Galemmo, Nicholas
Location:
Indianapolis, Ind.
Subject:
Database Management - General
Subject:
Information Storage & Retrieval
Subject:
Data warehousing
Subject:
System Administration - Storage & Retrieval
Subject:
Database & Data Warehousing Technologies
Subject:
Database design
Copyright:
Series Volume:
2300-13
Publication Date:
20080421
Binding:
TRADE PAPER
Grade Level:
General/trade
Language:
English
Illustrations:
Yes
Pages:
456
Dimensions:
9.38x7.40x.98 in. 1.51 lbs.

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Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Database » Design
Computers and Internet » Internet » Information
Computers and Internet » Software Engineering » Software Management

Mastering Data Warehouse Design: Relational and Dimensional Techniques Used Trade Paper
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$15.50 In Stock
Product details 456 pages John Wiley & Sons - English 9780471324218 Reviews:
"Synopsis" by , Includes bibliographical references (p. 409-410) and index.
"Synopsis" by ,
  • A cutting-edge response to Ralph Kimball's challenge to the data warehouse community that answers some tough questions about the effectiveness of the relational approach to data warehousing
  • Written by one of the best-known exponents of the Bill Inmon approach to data warehousing
  • Addresses head-on the tough issues raised by Kimball and explains how to choose the best modeling technique for solving common data warehouse design problems
  • Weighs the pros and cons of relational vs. dimensional modeling techniques
  • Focuses on tough modeling problems, including creating and maintaining keys and modeling calendars, hierarchies, transactions, and data quality
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