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4,4 von 5 Sternen
8
4,4 von 5 Sternen


am 7. November 1999
I have been in Data modeling for now more than 10 years and thought I knew what I was talking about. Hay proved me wrong. Even the Universal model which I was so proud to have discovered on my own is there in almost all possible uses and combination (minus one, but I'll only share it with the VERY interested ones). I have had this book at hand for almost a year now and it is one of the few I consult almost daily. My only grudge is it is based on the Oracle methodology. But this is a very personal grudge.
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am 29. April 1999
There is a lot of positive word-of-mouth about this book.
However, when I recently read it I found it a real disappointment.
Maybe it was an important book when it was published but it has now been superceded by considerably more interesting and complete books on the subjects of patterns and modelling (for example Analysis Patterns by Martin Fowler).
The patterns presented are often rather simplistic and provide little new insight for experienced modellers.
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am 28. Oktober 1999
This book's high level of abstraction makes is great for generic models that you "massage" to form your own final design. In essence, all the serious fundamental errors can be obliterated by following Hay's designs, giving you a very robust base design. Probably, best of all, is the easy writing style; making the technical stuff a lot easier. If you want something that holds your hand a bit more, get "The Data Model Resource Book".
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am 1. Januar 1998
For years, I searched for a book that would bridge the gap between the theoretical principles of relational database design and the actual application of those principles to a real-world problem; a reference with practical, industry-specific examples of complete data models. David Hay's book is that, and much more. Data Model Patterns provides models for specific enterprise "types". But it goes a step further by generalizing many common entities and relationships to emphasize that, although details differ, there are striking similarities between analogous data structures across enterprises. Along the way, he points out some of the more common mistakes in data model design and how to avoid them (e.g. building "relationship" information into the structure of an entity or failing to recognize the distinction between the existance of an entity and the actual use of that entity). This book is packed with diagrams, descriptions, and analysis tips. It's contribution to my understanding of data model analysis and design is nothing less than transcendental. David, you should rename this book "Zen and the Art of Data Model Patterns"!
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am 15. Dezember 1999
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.
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Allegorically speaking, David Hay has taught his readers how to fish, where many other attempts to reveal the art of data modelling have merely provided one meal. Mr. Hay articulates the abstract concepts of data modelling in a clear and very readable manner, and leads us to a deeper understanding of the basic patterns common to all modelling tasks. Anyone familiar with Richard Barker's Case* Method series will find this book to be an excellent companion to that series.
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am 18. November 1996
This excellent book follows the methods of Richard Barker
(CASE Method Entity Relationship Modeling, Addison Wesley
Publishing Company, 1990) to examine numerous patterns in
conceptual data structures which occur frequently throughout
business, industry, and government. The included examples
will solve many modeling problems for every organization
and skip over the "reinvent the wheel" stage of many
projects.
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am 24. Oktober 1998
Data Model Patterns is informative, thought-provoking, and enjoyable. One of my favorite techncial, no, one of my favorite books, period.
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