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Data Warehouse Performance
 
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Data Warehouse Performance [Paperback]

W. H. Inmon (Author), Ken Rudin (Author), Christopher K. Buss (Author), Ryan Sousa (Author)
2.0 out of 5 stars  See all reviews (1 customer review)


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Book Description

0471298085 978-0471298083 October 30, 1998 1
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

Editorial Reviews

From the Back Cover

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

About the Author

W. H. INMON is Chief Technology Officer at Pine Cone Systems, a company that builds software for the management of the data warehouse environment. He is also the author of thirty-four books on databases, database management, and data warehouse technology.

KEN RUDIN is cofounder and CEO of Emergent Corporation, a systems integration firm focused on large-scale data warehousing. He is also author of a monthly column appearing in Data Management Review.

CHRIStopher K. BUSS is a Senior Technical Consultant at Hewlett Packard's OpenWarehouse Advance Technology Center and has been involved in many international data warehousing projects at HP.

RYAN SOUSA is an internationally recognized expert in the field of data warehousing and specializes in supporting customer relations and marketing. He and Bill Inmon coauthored a seminal book on data warehousing, Corporate Information Factory (Wiley).

Product Details

  • Paperback: 444 pages
  • Publisher: Wiley; 1 edition (October 30, 1998)
  • Language: English
  • ISBN-10: 0471298085
  • ISBN-13: 978-0471298083
  • Product Dimensions: 9 x 7.4 x 1 inches
  • Shipping Weight: 1.8 pounds
  • Average Customer Review: 2.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #3,381,724 in Books (See Top 100 in Books)

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25 of 25 people found the following review helpful:
2.0 out of 5 stars A dissapointing hodgepodge of material, September 9, 1999
By A Customer
This review is from: Data Warehouse Performance (Paperback)
I purchased this book expecting that it would present a coherent methodology for initially sizing a data warehouse and for planning for subsequent growth. What I got out of reading this book is some scattered ideas about data warehouse performance, which though many are sound, needed to be put into some overall context. The authors attempt to put some of their thoughts together in a case study in the last chapter, but I found that chapter missed the mark also.

There is no doubt the writers know their subject. They just failed to organize their knowledge in a way that many firms implementing and maintaining data warehouses would highly value.

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