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The Data Model Resource Book: Volume 3: Universal Patterns for Data Modeling

ISBN: 978-0-470-17845-4
648 pages
January 2009
The Data Model Resource Book: Volume 3: Universal Patterns for Data Modeling (0470178450) cover image

Description

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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Table of Contents

Foreword.

Chapter 1 Introduction.

Chapter 2 Setting Up Roles: What Parties Do.

Chapter 3 Using Roles: How Parties Are Involved.

Chapter 4 Hierarchies, Aggregations, and Peer-to-Peer Relationships: The Organization of Similar Data.

Chapter 5 Types and Categories: the Classification of Data.

Chapter 6 Status: The States of Data.

Chapter 7 Contact Mechanisms: How to Get in Touch.

Chapter 8 Business Rules: How Things Should Work.

Chapter 9 Using the Patterns.

Chapter 10 Socializing the Patterns.

Index.

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Author Information

Len Silverston is the best-selling author of The Data Model Resource Book (Volumes 1 and 2), a speaker and data management consultant with more than 25 years of experience helping organizations integrate their information and systems. He is the owner and president of Universal Data Models, LLC.

Paul Agnew is an author and consultant with more than 17 years of experience in the data management field in many different industries. He is an expert in data modeling, architecture, and integration. He is a senior partner at Universal Data Models, LLC (www.universaldatamodels.com).

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Errata

Do you think you've discovered an error in this book? Please check the list of errata below to see if we've already addressed the error. If not, please submit the error via our Errata Form. We will attempt to verify your error; if you're right, we will post a correction below.

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12/5/2008
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Notes

Notes
For more information about this and the author's other data model products, visit this site
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