The Data Model Resource Book, Volume 1 Vol. 1 : A Library of Universal Data Models for All Enterprises
Silverston, Len
ISBN 10: 0471380237 ISBN 13: 9780471380238
Editore: Wiley & Sons, Incorporated, John, 2001
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Used book that is in clean, average condition without any missing pages. Codice articolo 4273052-6
Riassunto:
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.
Informazioni sull?autore:
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Titolo: The Data Model Resource Book, Volume 1 Vol. ...
Casa editrice: Wiley & Sons, Incorporated, John
Data di pubblicazione: 2001
Legatura: Brossura
Condizione: Good
Edizione: 2nd.
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The Data Model Resource Book, Volume 1 Vol. 1 : A Library of Universal Data Models for All Enterprises
Editore:
Wiley & Sons, Incorporated, John, 2001
ISBN 10: 0471380237
ISBN 13: 9780471380238
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The Data Model Resource Book, Volume 1 : A Library of Universal Data Models for All Enterprises
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ISBN 10: 0471380237
ISBN 13: 9780471380238
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ISBN 13: 9780471380238
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Paperback. Condizione: Very Good. 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. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Codice articolo GOR005775153
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Data Model Resource Book, Volume 1 A Library of Universal Data Models for All Enterprises
Editore:
John Wiley & Sons, Incorporated, 2001
ISBN 10: 0471380237
ISBN 13: 9780471380238
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Data Model Resource Book : A Library of Universal Data Models for All Enterprises
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