Materialized views : techniques, implementations, and applications /

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Bibliographic Details
Imprint:Cambridge, Mass. : MIT Press, 1999.
Description:1 online resource (xix, 589 pages) : illustrations
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11111835
Hidden Bibliographic Details
Other authors / contributors:Gupta, Ashish, 1968-
Mumick, Inderpal Singh.
ISBN:9780262287500
0262287501
058533174X
9780585331744
0262571226
9780262571227
Notes:Includes bibliographical references (pages 551-579) and index.
Print version record.
Summary:"When an application is built, an underlying data model is chosen to make that application effective. Frequently, other applications need the same data, only modeled differently. The solution of copying the underlying data and modeling is costly in terms of storage and makes data maintenance and evolution impossible. View mechanisms are a technique to model data differently for various applications without affecting the underlying format and structure of the data. The technique enables applications to customize shared data objects without affecting other applications that use the same objects. The growing data-manipulation needs of companies cannot be met by existing legacy systems that contain valuable data. Thus view mechanisms are becoming increasingly important as a way to model and use legacy data in new applications. Materialized views are views that have been computed and stored in databases. Because they reduce the need to recompute the view and/or data being queried, they speed up the querying of large amounts of data. Further, because they provide a systematic way to describe how to recompute the data, maintenance and evolution can be automated. Materialized views are especially useful in data warehousing, query optimization, integrity constraint maintenance, online analytical processing, and applications such as billing, banking, and retailing. This comprehensive volume, with a foreword by Jeff Ullman of Stanford University, will serve as a reference for students and commercial users, and encourage further use and development of materialized views."
Other form:Print version: Materialized views. Cambridge, Mass. : MIT Press, 1999 0262571226

MARC

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245 0 0 |a Materialized views :  |b techniques, implementations, and applications /  |c edited by Ashish Gupta, Inderpal Singh Mumick ; foreword by Jeffrey D. Ullman. 
260 |a Cambridge, Mass. :  |b MIT Press,  |c 1999. 
300 |a 1 online resource (xix, 589 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references (pages 551-579) and index. 
505 2 |a Part I. Rejuvenation of materialized views -- Part II. Applications of materialized views -- Part III. Maintenance of materialized views -- Part IV. Materialized views and OLAP -- Part V. Implementation and performance analysis of materialized views. 
520 3 |a "When an application is built, an underlying data model is chosen to make that application effective. Frequently, other applications need the same data, only modeled differently. The solution of copying the underlying data and modeling is costly in terms of storage and makes data maintenance and evolution impossible. View mechanisms are a technique to model data differently for various applications without affecting the underlying format and structure of the data. The technique enables applications to customize shared data objects without affecting other applications that use the same objects. The growing data-manipulation needs of companies cannot be met by existing legacy systems that contain valuable data. Thus view mechanisms are becoming increasingly important as a way to model and use legacy data in new applications. Materialized views are views that have been computed and stored in databases. Because they reduce the need to recompute the view and/or data being queried, they speed up the querying of large amounts of data. Further, because they provide a systematic way to describe how to recompute the data, maintenance and evolution can be automated. Materialized views are especially useful in data warehousing, query optimization, integrity constraint maintenance, online analytical processing, and applications such as billing, banking, and retailing. This comprehensive volume, with a foreword by Jeff Ullman of Stanford University, will serve as a reference for students and commercial users, and encourage further use and development of materialized views." 
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700 1 |a Mumick, Inderpal Singh. 
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