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Data Model Patterns: Conventions of Thought
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Author: David C. Hay, Richard Barker
List Price: $39.95
Our Price: Click to see the latest and low price
ISBN: 0932633293
Publisher: Dorset House (January, 1996)
Edition: Hardcover
Sales Rank: 39,977
Average Customer Rating: 4.31 out of 5
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Customer ReviewsRating: 2 out of 5
Not Practical
This book provides you with patterns for creating conceptual data models. It's not practical, though, in that it does not provide insight into how to go from conceptual to real. In fact, it's almost useless.These "patterns" are nothing more than concepts that good data modelers instinctively know already. Also, his ER modeling techniques are a bit outdated. Finally, this book is very, very dense and difficult to read. He just describes how to set up the models in very dense language, without going into the why's. It becomes virtually unreadable after the second or third pattern. There are other, more recent books out there which provide better, more up to date thinking on this nascent topic (which I believe is still years, if not decades away from truly practical modeling/process techniques).
Rating: 5 out of 5
Fantastic Collection of Ideas
This books is great for getting ideas. I use it to help me think about data models that I'm creating. Hay presents his thinking from many perspectives. He's not trying to say, "Here's how you do this data model." What he does is present different aspects of modeling various subject areas; illustrating various slants at approaching models for the subject area. This is very helpful when brainstorming or trying to come up with a model. This book is a great reference that I consult consistently at the beginning of each new modeling task. A must have.
Rating: 4 out of 5
It delivers
This book delivered on my expectations. I was being asked to build a ground-up billing and accounting system, and this book really helped bring clarity to my conceptions and design. This book should be studied.I've omitted a star because this is very much an applied data model pattern book. More esoteric modeling problems, such as meta-data representations of real or digitial world entities are not covered.
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