From Book News, Inc.
Utilizing case studies from a variety of business applications, the authors present dimensional modeling techniques for data warehousing. Emphasizing user understandability and query performance, chapters cover techniques in the areas of retail sales , inventory, procurement, order management, customer relationship management, accounting, human resource management, financial services, telecommunications and utilities, transportation, education, health care, electronic commerce, and insurance. Final chapters discuss the construction of the data warehouse framework and future trends.Book News, Inc.®, Portland, OR


Review
"...this is the daddy of data warehousing process books. No other material available so concisely and precisely explains what is required from a data warehousing solution...this is a great book..." (Enterprise Server Magazine, July 2002)


Review
"...this is the daddy of data warehousing process books. No other material available so concisely and precisely explains what is required from a data warehousing solution...this is a great book..." (Enterprise Server Magazine, July 2002)


Book Description
Single most authoritative guide from the inventor of the technique.
* Presents unique modeling techniques for e-commerce, and shows strategies for optimizing performance.
* Companion Web site provides updates on dimensional modeling techniques, links related to sites, and source code where appropriate.


Download Description
"The latest edition of the single most authoritative guide on dimensional modeling for data warehousing! Dimensional modeling has become the most widely accepted approach for data warehouse design. Here is a complete library of dimensional modeling techniques--the most comprehensive collection ever written. Greatly expanded to cover both basic and advanced techniques for optimizing data warehouse design, this second edition to Ralph Kimball's classic guide is more than sixty percent updated."


Book Info
The latest edition of the single most authoritative guide on dimensional modeling for data warehousing. Provides clear-cut guidelines for designing dimensional models. Softcover. Previous edition c2000.


From the Back Cover
The latest edition of the single most authoritative guide on dimensional modeling for data warehousing! Dimensional modeling has become the most widely accepted approach for data warehouse design. Here is a complete library of dimensional modeling techniques–– the most comprehensive collection ever written. Greatly expanded to cover both basic and advanced techniques for optimizing data warehouse design, this second edition to Ralph Kimball’s classic guide is more than sixty percent updated. The authors begin with fundamental design recommendations and gradually progress step-by-step through increasingly complex scenarios. Clear-cut guidelines for designing dimensional models are illustrated using real-world data warehouse case studies drawn from a variety of business application areas and industries, including: Retail sales and e-commerce Inventory management Procurement Order management Customer relationship management (CRM) Human resources management Accounting Financial services Telecommunications and utilities Education Transportation Health care and insurance By the end of the book, you will have mastered the full range of powerful techniques for designing dimensional databases that are easy to understand and provide fast query response. You will also learn how to create an architected framework that integrates the distributed data warehouse using standardized dimensions and facts. Wiley Computer Publishing. Timely. Practical. Reliable. Visit our Web site at www.wiley.com/compbooks/ Visit Kimball’s Web site at www.kimballuniversity.com


About the Author
RALPH KIMBALL, PhD, has been a leading visionary in the data warehouse industry since 1982 and is one of todays most well- known speakers, consultants, and teachers. He writes the "Data Warehouse Designer" column for Intelligent Enterprise magazine and is also the author of the bestselling books The Data Warehouse Lifecycle Toolkit and The Data Webhouse Toolkit (both from Wiley). MARGY ROSS is President of DecisionWorks Consulting and a Ralph Kimball Associate. She has focused exclusively on decision support and data warehousing since 1982. Margy coauthored the highly acclaimed The Data Warehouse Lifecycle Toolkit, consults on data warehouse projects worldwide, and teaches data warehouse design for Kimball University.

FROM OUR EDITORS

Two acclaimed data warehouse experts share an unmatched library of techniques -- both basic and advanced -- for designing fast, versatile, accessible dimensional databases. They also illustrate their methods at work in e-commerce, financial services, telecommunications, transportation, education, health care, and other industries.

FROM THE PUBLISHER

The latest edition of the single most authoritative guide on dimensional modeling for data warehousing!

Dimensional modeling has become the most widely accepted approach for data warehouse design. Here is a complete library of dimensional modeling techniques-- the most comprehensive collection ever written. Greatly expanded to cover both basic and advanced techniques for optimizing data warehouse design, this second edition to Ralph Kimball's classic guide is more than sixty percent updated.

The authors begin with fundamental design recommendations and gradually progress step-by-step through increasingly complex scenarios. Clear-cut guidelines for designing dimensional models are illustrated using real-world data warehouse case studies drawn from a variety of business application areas and industries, including:Retail sales and e-commerceInventory managementProcurementOrder managementCustomer relationship management (CRM)Human resources managementAccountingFinancial servicesTelecommunications and utilitiesEducationTransportationHealth care and insurance

By the end of the book, you will have mastered the full range of powerful techniques for designing dimensional databases that are easy to understand and provide fast query response. You will also learn how to create an architected framework that integrates the distributed data warehouse using standardized dimensions and facts.

FROM THE CRITICS

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