The Universal Model Summary Edition Volume 1


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The Universal Model Summary Edition Volume 1


The Universal Model Summary Edition Volume 1

Author: The UM Education Foundation

language: en

Publisher:

Release Date: 2016-10-15


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The Data Model Resource Book, Volume 1


The Data Model Resource Book, Volume 1

Author: Len Silverston

language: en

Publisher: John Wiley & Sons

Release Date: 2011-08-08


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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 Data Model Resource Book


The Data Model Resource Book

Author: Len Silverston

language: en

Publisher: John Wiley & Sons

Release Date: 2011-03-21


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This third volume of the best-selling "Data Model Resource Book" series revolutionizes the data modeling discipline by answering the question "How can you save significant time while improving the quality of any type of data modeling effort?" In contrast to the first two volumes, this new volume focuses on the fundamental, underlying patterns that affect over 50 percent of most data modeling efforts. These patterns can be used to considerably reduce modeling time and cost, to jump-start data modeling efforts, as standards and guidelines to increase data model consistency and quality, and as an objective source against which an enterprise can evaluate data models.


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