Description
A guide to developing and implementing a data warehouse, for database designers and administrators, programmers, and system and data architects. Emphasizes the difference between operational and analytical processing and the architecture and infrastructure for the data warehouse, discusses the decision support life cycle, and teaches a database design for large warehouses called Star Schema . Contains numerous case studies and "tips from the trenches," plus product and vendor listings. Annotation copyright Book News, Inc. Portland, Or.
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Beginning with the basics, this book covers the difference between operational and analytical processing; architecture and infrastructure for the data warehouse, and examples of how they are currently being implemented within corporations; and the Decision Support Life Cycle - from gathering requirements, modeling the data, and designing the database to application development, staff training, and implementation.Building a Data Warehouse for Decision Support also teaches a database design for large warehouses called Star Schema. This highly flexible structure will allow you to create a system capable of growing with your organization and its needs.This book is for project managers, database designers and administrators, programmers, analysts, and system and data architects.
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