Data virtualization for business intelligence systems : revolutionizing data integration for data warehouses

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. This title outlines the advantages and disadvantages of data virtualization and illustrates how data virtualization should be...

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Bibliographic Details
Main Author: Lans, Rick F. van der (Author)
Format: Book
Language:English
Published: Waltham, Massachusetts : Elsevier , c2012
Subjects:

MARC

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008 130530s2012 mau eng
020 |a 0123944252 (paperback : alk. paper) 
020 |a 9780123944252 (paperback : alk. paper) 
050 0 0 |a QA76.9.D37   |b L36 2012 
090 0 0 |a QA76.9.D37   |b L36 2012 
100 1 |a Lans, Rick F. van der ,   |e author 
245 1 0 |a Data virtualization for business intelligence systems :   |b revolutionizing data integration for data warehouses   |c Rick F. van der Lans 
260 |a Waltham, Massachusetts :   |b Elsevier ,   |c c2012 
300 |a xix, 275 p. :   |b ill. ;   |c 23 cm. 
504 |a Includes bibliographical references (p. 267-268) and index 
505 0 |a 1. Introduction to data virtualization -- 2. Business intelligence and data warehousing -- 3. Data virtualization server: the building blocks -- 4. Data virtualization server: management and security -- 5. Data virtualization server: caching of virtual tables -- 6. Data virtualization server: query optimization techniques -- 7. Deploying data virtualization in business intelligence systems -- 8. Design guidelines for data virtualization -- 9. Data virtualization and service- oriented architecture -- 10. Data virtualization and master data management -- 11. Data virtualization, information management, and data governance -- 12. The data delivery platform- a new architecture for business intelligence systems -- 13. The future of data virtualization 
520 |a 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. This title outlines the advantages and disadvantages of data virtualization and illustrates how data virtualization should be applied in data warehouse environments 
650 0 |a Business intelligence 
650 0 |a Data warehousing 
650 0 |a Management information systems 
650 0 |a Virtual computer systems 
999 |a 1000158315   |b Book   |c OPEN SHELF (30 DAYS)   |e Tembila Campus