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カスタマーレビュー
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形式:ハードカバー
データ関連業務25年の著者によるデータモデルの本
図（モデル）が１５０以上載っている，いわゆるデータモデルパターン本です．
業種に係わらず，一般的なモデリングに終始しています．
まずはデータモデルの解説と表記法の説明が20ページありそれ以外の240ページ
はすべてパターンです．まず，パーティや従業員といった一般的なものから
WORK，契約，会計，LABORATORYというちょっと毛色がかわったものとか
プロセス，文書，最後にふたたび表記法にもどっています．
パターン本なので，網羅性が問題になりますが，この本を使ったときには
ほぼ似たようなモデルがあるのでかなり網羅性は高いのではと思います．
私だけの問題かもしれませんが，網羅性をあげた為かすこしモデルの
質が悪いのではないかと感じました．というのは，一部こんなモデリングは
しないのではないかと思ったのが時々混じっていました．
図が１５０もあり，どこから読んでも良くて，それなりによく
検討されたモデルが多いのでデータモデルをする人には
よいのではと思います．
図（モデル）が１５０以上載っている，いわゆるデータモデルパターン本です．
業種に係わらず，一般的なモデリングに終始しています．
まずはデータモデルの解説と表記法の説明が20ページありそれ以外の240ページ
はすべてパターンです．まず，パーティや従業員といった一般的なものから
WORK，契約，会計，LABORATORYというちょっと毛色がかわったものとか
プロセス，文書，最後にふたたび表記法にもどっています．
パターン本なので，網羅性が問題になりますが，この本を使ったときには
ほぼ似たようなモデルがあるのでかなり網羅性は高いのではと思います．
私だけの問題かもしれませんが，網羅性をあげた為かすこしモデルの
質が悪いのではないかと感じました．というのは，一部こんなモデリングは
しないのではないかと思ったのが時々混じっていました．
図が１５０もあり，どこから読んでも良くて，それなりによく
検討されたモデルが多いのでデータモデルをする人には
よいのではと思います．
Amazon.com で最も参考になったカスタマーレビュー (beta)
Amazon.com:
5つ星のうち 4.3
21件のカスタマーレビュー
21 人中、21人の方が、｢このレビューが参考になった｣と投票しています。
5つ星のうち 5.0
Learn to think like a data modeler
2005/2/26
By heartburn
- (Amazon.com)
形式:ハードカバー
I can understand why this book has gotten some mixed reviews. The author addresses many common modeling problems. But readers looking for instant solutions to those problems will probably be disappointed. Those looking for oop patterns are reading the wrong book. And anyone looking for a beginner's introduction to data modeling will be completely lost. But if you've been feeling as if your database designs could be better, but you're not sure how, you need this book.
Mr. Hay covers many real-world modeling problems. His discussions of these problems give incredible insight into the thought process of a professional data modeler. That is the true value of this book.
I first read this book about three years ago and now I am totally embarrassed by every database I created before. I've re-read it many times since and my copy is beaten and dog-eared. Thankfully, it's a hardcover book.
Make sure you read all the footnotes in the book. Some of them are hysterically funny.
Mr. Hay covers many real-world modeling problems. His discussions of these problems give incredible insight into the thought process of a professional data modeler. That is the true value of this book.
I first read this book about three years ago and now I am totally embarrassed by every database I created before. I've re-read it many times since and my copy is beaten and dog-eared. Thankfully, it's a hardcover book.
Make sure you read all the footnotes in the book. Some of them are hysterically funny.
22 人中、21人の方が、｢このレビューが参考になった｣と投票しています。
5つ星のうち 4.0
Potentially valuable, but primarily as a reference.
2005/6/1
By Christopher Wanko
- (Amazon.com)
形式:ハードカバー|Amazon.co.jpで購入済み
I've done some data modeling, and much more process modeling, so I was familiar with Mr. Hay's objectives with respect to data and restricting the model to logical representations of data, whatever that may be.
About six chapters into this book, I realize that while I could continue through to the end, I would likely find this more useful as a companion to a problem. I think the majority of non-academic readers, software practitioners if you will, will extract the necessary value from owning this book given a specific objective, i.e. I have to develop a work management model from scratch, and these are my (current) business rules.
The book covers so many kinds of models that it's entirely possible a reader will have no practical frame of reference, such as the chapter on accounting. Modern accounting software is primarily off-the-shelf, so developing a data model for it isn't something very common today. However, the smart developer understands that living "in the spaces between" software is a very good line of business, so to that end knowing what an ideal data model might have is certainly valuable ammunition when weighing vendor claims and evaluating solutions.
Because it lacks that sort of accessible readability, I am withholding a star. I'd have withheld a half-star if it were possible; I believe the book has great value to a developer or analyst.
Fred
About six chapters into this book, I realize that while I could continue through to the end, I would likely find this more useful as a companion to a problem. I think the majority of non-academic readers, software practitioners if you will, will extract the necessary value from owning this book given a specific objective, i.e. I have to develop a work management model from scratch, and these are my (current) business rules.
The book covers so many kinds of models that it's entirely possible a reader will have no practical frame of reference, such as the chapter on accounting. Modern accounting software is primarily off-the-shelf, so developing a data model for it isn't something very common today. However, the smart developer understands that living "in the spaces between" software is a very good line of business, so to that end knowing what an ideal data model might have is certainly valuable ammunition when weighing vendor claims and evaluating solutions.
Because it lacks that sort of accessible readability, I am withholding a star. I'd have withheld a half-star if it were possible; I believe the book has great value to a developer or analyst.
Fred
20 人中、19人の方が、｢このレビューが参考になった｣と投票しています。
5つ星のうち 5.0
Data Model Design: Going from theory to implementation
1998/1/2
By "mblarson"
- (Amazon.com)
形式:ハードカバー
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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5つ星のうち 4.3
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