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Data Model Patterns: Conventions of Thought

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Title: Data Model Patterns: Conventions of Thought
by David C. Hay
ISBN: 0-932633-29-3
Publisher: Dorset House Publishing Company, Incorporated
Pub. Date: 01 November, 1995
Format: Hardcover
Volumes: 1
List Price(USD): $39.95
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Average Customer Rating: 4.14 (14 reviews)

Customer Reviews

Rating: 3
Summary: Relational modeling and not object modeling
Comment: With heavy emphasis in the manufacturing and supply-chain world, this book provides a treasure-chest of reusable concepts and data modeling frameworks on which to grow to model a business. Strongly slanted towards relational database modeling, it has a totally different flavor than from a book slanted towards object modeling, such as Analsys Patterns by Martin Fowler. A cheaper version of this book, and in my view just as good is The Data Model Resource Book by Len Silverston. It would be nice to see this book into a second edition with XML templates representing invoices, customers, contacts, billing item, etc etc.

Rating: 5
Summary: Data Modeling Nirvana
Comment: Tour de force! This book is up there with Gamma et al's "Design Patterns" and Booch's "Object-Oriented Design" for helping me to achieve a breakthrough understanding of--in this case--database-oriented data models. Hays walks the reader through all the important domains of business--people, assets, accounting, contracts, document management, projects--and builds a concrete data model of each domain. As he proceeds through each model he draws comparisons to the previous ones revealing patterns common to all the domains. In the last chapter he summarizes the patterns and build a universal data model that applies to all domains. I believe this book can be very helpful in the development of data models in any field for two reasons. One, you can view the domain you are dealing with as a variation on one or more of the domains he presents and apply elements to your situation. Two, you can view your domain under the more abstract concepts that cut across all the domains. It's the combination and synthesis of both these elements that makes the book powerful and led me to a few moments of data modeling nivrana.

This book won't help you to make tough physical database design decisions, but it may be indispensable to understanding the prerequisite analysis.

Rating: 2
Summary: Based on Entity-Relationship modelling
Comment: Be aware entity-relationship modelling is considered harmful, being incapable of representing a full, detailed relational model and even being misleading quite often.

Since this book is based on ERM, it won't be ever a definitive reference. It may have other qualities.

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