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Mastering Data Warehouse Design : Relational and Dimensional Techniques by Nicholas Galemmo, Claudia Imhoff and Jonathan G. Geiger (2003, Trade Paperback)
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Product Identifiers
PublisherWiley & Sons, Incorporated, John
ISBN-100471324213
ISBN-139780471324218
eBay Product ID (ePID)2355091
Product Key Features
Number of Pages456 Pages
LanguageEnglish
Publication NameMastering Data Warehouse Design : Relational and Dimensional Techniques
Publication Year2003
SubjectDatabases / Data Warehousing
TypeTextbook
Subject AreaComputers
AuthorNicholas Galemmo, Claudia Imhoff, Jonathan G. Geiger
FormatTrade Paperback
Dimensions
Item Height1.1 in
Item Weight25.6 Oz
Item Length9 in
Item Width7.2 in
Additional Product Features
Intended AudienceTrade
LCCN2003-010879
Dewey Edition21
IllustratedYes
Dewey Decimal005.74
Table Of ContentAcknowledgments. 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.
SynopsisAt 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, 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, Data warehousing is split into two camps: Ralph Kimball leads those who champion a technique called dimensional modeling; Bill Inmon leads the rest who believe in using relational modeling techniques.
LC Classification NumberQA76.9.D37
