The practical guide for understanding and deploying data virtualization in data warehouse environments.
1 Introduction to Data Virtualization2 Under the Hood of a Data Virtualization Server3 Caching of Virtual Tables4 Query Optimization Techniques5 Data Warehousing and Business Intelligence6 A Business Intelligence Architecture based on Data Virtualization7 Design Guidelines for Data Virtualization8 Data Virtualization and SOA9 Data Virtualization and Master Data Management10 Data Virtualization, Information Management, and Data Governance11 The Data Delivery Platform – A New Architecture for Information Management12 The Future of Data Virtualization
Rick F. van der Lans is an independent consultant, author, and lecturer specializing in business intelligence, data warehousing, and database technology. He is the managing director of R20/Consultancy which is based in The Netherlands. Rick has advised many large companies worldwide on defining their data warehouse architectures. He is the chairman of the annual European BI and Data Warehousing Conference organized in London, he writes for B-eye-Network.com, BI-platform.nl, and for Database Magazine. He is the author of several books on database technology, including Introduction to SQL (Addison-Wesley, 2006), currently in its fourth edition.
"This book for those in business and information management explains how to use data virtualization in business intelligence systems.Some general knowledge of data warehousing, business intelligence, and database technology is assumed."--Reference and Research Book News, December 2012
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