The Data Model Resource Book Volume 3:

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.

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).

Foreword
Introduction
Setting Up Roles: What Parties Do
Using Roles: How Parties Are Involved
Hierarchies, Aggregations, and Peer-to-Peer Relationships: The Organization of Similar Data
Types and Categories: the Classification of Data
Status: The States of Data
Contact Mechanisms: How to Get in Touch
Business Rules: How Things Should Work
Using the Patterns
Socializing the Patterns
Index
Table of Contents provided by Publisher. All Rights Reserved.

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

Summary

Author Biography

Table of Contents

Supplemental Materials