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Data Virtualization for Business Intelligence Systems: Revolutionizing Data Integration for Data Warehouses (The Morgan Kaufmann Series on Business Intelligence) Kindle Edition

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Length: 296 pages

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Editorial Reviews

Review

"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

About the Author

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.

Product Details

  • File Size: 5230 KB
  • Print Length: 296 pages
  • Publisher: Morgan Kaufmann; 1 edition (July 25, 2012)
  • Publication Date: July 25, 2012
  • Sold by: Amazon Digital Services, Inc.
  • Language: English
  • ASIN: B008N6MV5U
  • Text-to-Speech: Enabled
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  • Word Wise: Not Enabled
  • Lending: Not Enabled
  • Enhanced Typesetting: Not Enabled
  • Amazon Best Sellers Rank: #753,732 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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2 of 2 people found the following review helpful By Robert J. Eve on August 20, 2012
Format: Paperback Verified Purchase
With his latest book, Data Virtualization for Business Intelligence Systems: Revolutionizing Data Integration for Data Warehouses, Rick van der Lans has done the IT industry an excellent service. I strongly recommend it.

Rick covers data virtualization from multiple directions. From the highest level he provides a rationale for data virtualization, especially in historical terms relative to technology in general and data integration solutions in particular. Rick also provides a deep dive examination of how data virtualization works, including screen shots from popular products.

Rick also projects the future of data virtualzation, including not only his prognostications, but also those of three data virtualization software company CTOs.

This book complements Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility, which provides ten in-depth data virtualization case studies from a range of organizations.
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1 of 1 people found the following review helpful By Gregory Lancaster on January 11, 2013
Format: Kindle Edition Verified Purchase
This book is a great point of reference for learning about data virtualization. It provides both a non-technical overview, but also gets down into the details of how it works. I would recommend this book to anyone wanting to understand DV better.
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By gerryg on September 4, 2014
Format: Paperback Verified Purchase
Great introduction to Data Virtualization and how it fits into a Business Intelligence architecture. Uses screenshots and examples from a variety of dat virtualization vendors (I recall Composite, which is now owned by Cisco, Denodo, and Informatica, among others). But it is not just about the tools and features of these specific products. It lays out a clear case for the problems with existing architectures and ways that data virtualization can be applied to solve them.

The text is very clearly written and reads quickly, and provides a good foundation for understanding and application of the concepts and techniques. I found this to be very useful in helping evaluate DV platforms and determine selection criteria, as well as to plan my target architecture for implementation this year.

BTW, as the text itself notes, data virtualization includes and subsumed a number of other technologies and techniques, and is still growing and maturing. I expect that his book will be good for another year or so and sufficient for a couple more years but will age quickly, e.g. the fast movement in the big data arena and many new technologies coming available for Business Intellignce, data mining, and more.

If you are getting started with or exploring DV this book is recommended reading.
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