Building the Data Warehouse
Language: English
Published by *A Wiley-QED Publication, 1992
- Hardcover
- Used
Seller: Goodwill of Greater Milwaukee and Chicago, Racine, WI, U.S.A.Goodwill of Greater Milwaukee and Chicago
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Condition: Used - Fair
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Book is considered to be in acceptable condition. The actual cover image may not match the stock photo. Book may have one or more of the following defects: noticeable wear on the cover dust jacket or spine; curved, dog eared or creased page s ; writing or highlighting inside or on the edges; sticker s or other adhesive on cover; CD DVD may not be included; and book may be a former library copy.
Seller Inventory # SEWV.0471569607.A
- Title
- Building the Data Warehouse
- Author
- Inmon, W. H.
- Publisher
- *A Wiley-QED Publication
- Publication year
- 1992
- Condition
- acceptable
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0471569607
- ISBN 13
- 9780471569602
- Edition
- 2nd Edition
"Synopsis" may belong to another edition of this title.
From the Back Cover
Since it was first published in 1990, W. H. Inmon's Building the Data Warehouse has become the bible of data warehousing-- the first and best introduction to the subject. A lot has changed in data warehousing technology since the last edition appeared in 1996, and this latest volume is completely revised to reflect exciting new techniques and applications, update existing topics, and examine data marts, operational data stores, and the corporate
information factory.
In this Third Edition, Inmon explains what a data warehouse is (and isn't), why it's needed, how it works, and how the traditional data warehouse can be integrated with new technologies, including the Web, to provide enhanced customer service and support. He also addresses the trade-offs between normalized data warehouses and dimensional data marts.
In addition, this unique overview of data warehousing reviews new subjects such as:
* Data warehousing techniques for customer sales and support, both online and offline
* Data warehousing for decision support, including data mining and exploration warehousing
* Adoption of near-line storage techniques to vastly increase the capacity and access speed of data warehouses
* Integration of data warehouses with ERP systems
* The unique requirements for supporting e-businesses, including the capturing and analysis of clickstream data
"About the title" may belong to another edition of this title.
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