Data Virtualization for Business Intelligence Systems
Revolutionizing Data Integration for Data Warehouses

The practical guide for understanding and deploying data virtualization in data warehouse environments.

Rick van der Lans (Author)

9780123944252, Elsevier Science

Paperback, published 30 August 2012

296 pages
23.4 x 19 x 1.9 cm, 0.62 kg

"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

Data virtualization can help you accomplish your goals with more flexibility and agility. Learn what it is and how and why it should be used with Data Virtualization for Business Intelligence Systems. In this book, expert author Rick van der Lans explains how data virtualization servers work, what techniques to use to optimize access to various data sources and how these products can be applied in different projects. You’ll learn the difference is between this new form of data integration and older forms, such as ETL and replication, and gain a clear understanding of how data virtualization really works. Data Virtualization for Business Intelligence Systems outlines the advantages and disadvantages of data virtualization and illustrates how data virtualization should be applied in data warehouse environments. You’ll come away with a comprehensive understanding of how data virtualization will make data warehouse environments more flexible and how it make developing operational BI applications easier. Van der Lans also describes the relationship between data virtualization and related topics, such as master data management, governance, and information management, so you come away with a big-picture understanding as well as all the practical know-how you need to virtualize your data.

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

Subject Areas: Data warehousing [UND], Computing & information technology [U], Business mathematics & systems [KJQ]