* 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
विषयसूची
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.
लेखक के बारे में
CLAUDIA IMHOFF ([email protected]) 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 ([email protected]) 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@Intel Sols.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.
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