Materialized views
Techniques, implementations and applications
Ashish Gupta, Inderpal Singh Mumick
Résumé
model is chosen to make that application effective.
Frequently, other applications need the same data,
only modeled differently. The naïve 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.
L'auteur - Ashish Gupta
is the Founder and Vice President of Junglee Corporation in California.
L'auteur - Inderpal Singh Mumick
is the Founder, President, and
Chief Technology Officer of Savera Systems in New
Jersey.
Caractéristiques techniques
PAPIER | |
Éditeur(s) | The MIT Press |
Auteur(s) | Ashish Gupta, Inderpal Singh Mumick |
Parution | 08/11/1998 |
Nb. de pages | 588 |
Format | 21,5 x 28 |
EAN13 | 9780262571227 |
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