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

Front Cover
John Wiley & Sons, Mar 21, 2011 - Computers - 640 pages
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.

 

Contents

What Is the Significance of Patterns?
4
Introduction
12
Who Is the Intended Audience for This Book?
14
What Parties Do 35
15
Summary
33
How Does This Pattern Work? 89
89
When Should This Pattern Be Used?
97
Hybrid Contextual Role Pattern
117
References
235
The States of Data
237
Status Type with Multi Rollup and Rules Pattern
286
References
301
How to Get in Touch
303
Contact Mechanism with Flexible Address Parts Pattern
391
References
410
How Things Should Work
411

References
131
The Organization of Similar Data
133
Expanded Recursive Pattern
155
Recursive Pattern
164
Recursive Pattern with Rules
173
References
186
The Classification of Data
187
Classification Pattern with Rollups and Schemes
222
Using the Patterns
469
Prototype Models Scope Statements
472
Data Warehouse Models
503
Socializing the Patterns
553
Index
587
Contextual Role Pattern Attributes
589
Copyright

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About the author (2011)

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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