The Data Model Resource Book, Volume 2 :A Library of Universal Data Models by Industry Types

3.88 ( 42 Ratings by Goodreads)
The Data Model Resource Book, Volume 2

The Data Model Resource Book, Volume 2 :A Library of Universal Data Models by Industry Types

3.88 (42 Ratings by Goodreads)
paperback
Published: 9 April, 2001
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Description

A quick and reliable way to build proven databases for core business functions

Industry experts raved about The Data Model Resource Book when it was first published in March 1997 because it provided a simple, cost-effective way to design databases for core business functions. Len Silverston has now revised and updated the hugely successful First Edition, while adding a companion volume to take care of more specific requirements of different businesses. Each volume is accompanied by a CD-ROM, which is sold separately. Each CD-ROM provides powerful design templates discussed in the books in a ready-to-use electronic format, allowing companies and individuals to develop the databases they need at a fraction of the cost and a third of the time it would take to build them from scratch.

With each business function boasting its own directory, this CD-ROM provides a variety of data models for specific implementations in such areas as financial services, insurance, retail, healthcare, universities, and telecom.

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More Details

Type Book
ISBN13 9780471353485
ISBN10 0471353485
Number Of Pages 576
Item Weight 771 g
Product Dimensions 185 x 231 x 31 mm
Publisher / Reseller John Wiley & Sons Inc
Format paperback
Edition Revised Edition
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Media Reviews

"I thought the models in the books were well thought out and adequately explained." (Computer Shopper, February 2002)

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Author's Bio

LEN SILVERSTON ([email protected]) is founder and owner of Universal Data Models, LLC (www.universaldatamodels.com), a Colorado-based firm providing consulting and training for helping enterprises customize and implement "universal data models" and develop holistic, integrated systems. Mr. Silverston has over 20 years' experience in delivering data integration, database and data warehouse solutions to organizations.

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