The Data Model Resource Book, Volume 1: A Library of Universal Data Models for All Enterprises

Len Silverston

ISBN 10: 0471380237 / ISBN 13: 9780471380238

Published by John Wiley & Sons Inc, 2001

About this Item

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Seller Inventory # B9780471380238

Bibliographic Details

• Title: The Data Model Resource Book, Volume 1: A Library of Universal Data Models for All Enterprises
• Publisher: John Wiley & Sons Inc
• Publication Date: 2001
• Language: English
• ISBN 10: 0471380237
• ISBN 13: 9780471380238
• Binding: Paperback / softback
• Condition: New

About this title

Synopsis

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 1st Edition, while adding a companion volume to take care of more specific requirements of different businesses.

This updated volume provides a common set of data models for specific core functions shared by most businesses like human resources management, accounting, and project management. These models are standardized and are easily replicated by developers looking for ways to make corporate database development more efficient and cost effective.

This guide is the perfect complement to The Data Model Resource CD-ROM, which is sold separately and provides the powerful design templates discussed in the book in a ready-to-use electronic format. A free demonstration CD-ROM is available with each copy of the print book to allow you to try before you buy the full CD-ROM.

About the Author

LEN SILVERSTON (lsilverston @univdata.com) 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.