9780471298083-0471298085-Data Warehouse Performance

Data Warehouse Performance

ISBN-13: 9780471298083
ISBN-10: 0471298085
Edition: 1
Author: W.H. Inmon, Ryan Sousa, Ken Rudin, Christopher K. Buss
Publication date: 1998
Publisher: Wiley
Format: Paperback 444 pages
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Book details

ISBN-13: 9780471298083
ISBN-10: 0471298085
Edition: 1
Author: W.H. Inmon, Ryan Sousa, Ken Rudin, Christopher K. Buss
Publication date: 1998
Publisher: Wiley
Format: Paperback 444 pages

Summary

Data Warehouse Performance (ISBN-13: 9780471298083 and ISBN-10: 0471298085), written by authors W.H. Inmon, Ryan Sousa, Ken Rudin, Christopher K. Buss, was published by Wiley in 1998. With an overall rating of 4.4 stars, it's a notable title among other books. You can easily purchase or rent Data Warehouse Performance (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.6.

Description

Reduce operating and maintenance costs while substantially improving the performance of new and existing data warehouses and data marts

Data Warehouse Performance

This book tells you what you need to know to design, build, and manage data warehouses and data marts for optimum performance. Written by an all-star team of data warehouse pioneers and innovators-including Bill Inmon, "the father of the data warehouse," and Ken Rudin, one of the leading experts on performance-the book describes the layers of a high-performance data warehouse environment and guides the reader through their implementation and management. It also supplies proven techniques for supercharging the performance of existing environments. Crucial topics covered include:
* Mitigating the impact of dormant data on performance
* Data cleansing and implementation techniques
* Implementing platform components like data marts to support scalability
* Database design, sizing, and optimization techniques, including star schema and indexing
* Hardware assessment, selection, and sizing
* The role of monitors in balancing workload and assessing performance
* Creating a service management contract to meet user expectations

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