The Data Model Resource Book
Volume 3: Universal Patterns for Data Modeling
Published on 21. March 2011
648 pages
978-1-118-08083-2 (ISBN)
Description
This third volume of the best-selling "Data Model Resource Book"series revolutionizes the data modeling discipline by answering thequestion "How can you save significant time while improving thequality of any type of data modeling effort?" In contrast to thefirst two volumes, this new volume focuses on the fundamental,underlying patterns that affect over 50 percent of most datamodeling efforts. These patterns can be used to considerably reducemodeling time and cost, to jump-start data modeling efforts, asstandards and guidelines to increase data model consistency andquality, and as an objective source against which an enterprise canevaluate data models.
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Len Silverston | Paul Agnew
The Data Model Resource Book
Volume 3: Universal Patterns for Data Modeling
Book
01/2009
Wiley
€73.50
Shipment within 10-20 days
Persons
Len Silverston is the best-selling author of The Data ModelResource Book (Volumes 1 and 2), a speaker and data managementconsultant with more than 25 years of experience helpingorganizations integrate their information and systems. He is theowner and president of Universal Data Models, LLC.
Paul Agnew is an author and consultant with more than 17years of experience in the data management field in many differentindustries. He is an expert in data modeling, architecture, andintegration. He is a senior partner at Universal Data Models, LLC(www.universaldatamodels.com).
Content
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-PeerRelationships: 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.
