Database Tuning: Principles, Experiments, and Troubleshooting Techniques (The Morgan Kaufmann Series in Data Management Systems)

Shasha, Dennis; Bonnet, Philippe

ISBN 10: 1558607536 / ISBN 13: 9781558607538

Published by Morgan Kaufmann, 2002

About this Item

This softcover has clean covers. The spine is tight and without reading crease. Pages appear bright and unmarked. We ship FAST!

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Bibliographic Details

• Title: Database Tuning: Principles, Experiments, and Troubleshooting Techniques (The Morgan Kaufmann Series in Data Management Systems)
• Publisher: Morgan Kaufmann
• Publication Date: 2002
• Language: English
• ISBN 10: 1558607536
• ISBN 13: 9781558607538
• Binding: paperback
• Condition: Very Good

About this title

Synopsis

Tuning your database for optimal performance means more than following a few short steps in a vendor-specific guide. For maximum improvement, you need a broad and deep knowledge of basic tuning principles, the ability to gather data in a systematic way, and the skill to make your system run faster. This is an art as well as a science, and Database Tuning: Principles, Experiments, and Troubleshooting Techniques will help you develop portable skills that will allow you to tune a wide variety of database systems on a multitude of hardware and operating systems. Further, these skills, combined with the scripts provided for validating results, are exactly what you need to evaluate competing database products and to choose the right one.

About the Authors

Dennis Shasha is the author or coauthor of seven books, including this book's predecessor Database Tuning: A principal Approach (Prentice Hall) and Out of Their Minds: The Lives and Discoveries of 15 Great Computer Scientists (Copernius/Springer-Verlag), numerous journal and conference papers, and four patents. He also writes monthly puzzle columns for Scientific American and Dr. Dobb's Journal.

Philippe Bonnet is an experiment database researcher. He directs code development of the open source object-relational database system Predator developed at Cornell.