Decision Support in the Data Warehouse by Hugh J. Watson

Decision Support in the Data Warehouse

byHugh J. Watson, Paul Gray

Paperback | December 15, 1997

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Unlike most data warehousing books, this one focuses specifically on using data warehouses for decision support. It shows how to choose the best tools and get the best answers. This book walks step-by-step through building and maintaining a data warehouse specifically to support decision making. At a high level, it discusses the fundamental ideas and concepts of data warehousing. It then explores state-of-the-art tools and applications that can be used to improve the decision-making data delivered by your data warehouse. Several vendors - including Oracle, the world's leading RDBMS vendor - present products and detailed case studies showing how to implement state-of-the-art decision support. For all database administrators and IT professionals, especially those involved in creating and building data warehouses or providing decision support.

About The Author

Hugh J. Watson was educated at Purdue University and Florida State University. Watson is the C. Herman and Mary Virginia Terry Chair of Business Administration at the University of Georgia, the editor of the Journal of Data Warehousing, and a counseling editor for John Wiley & Sons' Computing and Information Processing series. He is co...
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Details & Specs

Title:Decision Support in the Data WarehouseFormat:PaperbackDimensions:416 pages, 9.3 × 7 × 1 inPublished:December 15, 1997Publisher:Pearson Education

The following ISBNs are associated with this title:

ISBN - 10:0137960794

ISBN - 13:9780137960798

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From Our Editors

Decision Support in the Data Warehouse demystifies data warehousing's technical jargon and provides a complete framework for building, maintaining, and using a data warehouse for decision support. This is the first book that integrates building and operating a data warehouse; developing decision support applications using the warehouse; and using the right warehouse tools. The book clearly describes the business and technical issues important to data warehousing success. They are brought to life with up-to-the-minute case studies drawn from today's leading organizations. Learn how to have a strategic business impact with your warehouse