Skip to main content
  • Hoopla logo
  • Browse
  • My Hoopla
  • Log In
Books, videos, and music - all free from your public library!
LoginSign Up

Footer

Hoopla logo, Go to homepage
  • For Patrons
  • For Libraries (opens in new window)
  • For Vendors (opens in new window)
  • Facebook (opens in new window)
  • X (opens in new window)
  • Instagram (opens in new window)
  • YouTube (opens in new window)
  • TikTok (opens in new window)
  • LinkedIn (opens in new window)

Our Company

  • Our Story
  • Get Hoopla for your Library (opens in new window)
  • Get your content on hoopla (opens in new window)
  • Join our team (opens in new window)
  • Accessibility Statement

Our Content

  • Audiobooks
  • Ebooks
  • Movies
  • Television
  • Comics
  • BingePasses
  • Music
  • The Loop Blog

Help

  • Help Center
  • Submit Feedback
  • Facebook (opens in new window)
  • X (opens in new window)
  • Instagram (opens in new window)
  • YouTube (opens in new window)
  • TikTok (opens in new window)
  • LinkedIn (opens in new window)
  • Download on the App Store (opens in new window)
  • Get it on Google Play (opens in new window)
  • Available at Amazon Appstore (opens in new window)
© 2026 Midwest Tape, LLC. All rights reserved. Privacy Policy | Terms of Use
  1. Navigate Home
  2. Ebooks
  3. The Data Model Resource Book

EBOOK

The Data Model Resource Book

Universal Patterns for Data Modeling

Len Silverston
(0)
sign up
Year
2011
Language
English
Publisher
Wiley

About

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.

Related Subjects

  • Database Administration & Management
  • Computers
  • Adult Nonfiction

Artists

Len SilverstonAuthor
Paul AgnewAuthor