Materialized Views: Techniques, Implementations, and Applications

ISBN 10: 0262571226 / ISBN 13: 9780262571227

Published by Mit Pr, 1999

About this Item

Ancien livre de bibliothèque. Edition 1999. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 1999. Ammareal gives back up to 15% of this item's net price to charity organizations.

Seller Inventory # F-924-406

Bibliographic Details

• Title: Materialized Views: Techniques, Implementations, and Applications
• Publisher: Mit Pr
• Publication Date: 1999
• Language: English
• ISBN 10: 0262571226
• ISBN 13: 9780262571227
• Binding: Softcover
• Condition: Très bon

About this title

Synopsis

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 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.

About the Author

Ashish Gupta is the Director of Engineering at Amazon.com. Inderpal Singh Mumick is the Founder, President, and Chief Technology Officer of Savera Systems in New Jersey.