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Data Warehouse Performance
 
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Data Warehouse Performance [Paperback]

W. H. Inmon , Ken Rudin , Christopher K. Buss , Ryan Sousa


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William H. Inman
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Product Description

Product 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

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

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Amazon.com:  1 review
25 of 25 people found the following review helpful
A dissapointing hodgepodge of material 9 Sep 1999
By A Customer - Published on Amazon.com
Format: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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