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.
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Data Model Patterns: Conventions of Thought ハードカバー – 1995/11/1
英語版
David C. Hay
(著)
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購入オプションとあわせ買い
Learning the basics of a modeling technique is not the same as learning how to use and apply it. To develop a data model of an organization is to gain insights into its nature that do not come easily. Indeed, analysts are often expected to understand subtleties of an organization's structure that may have evaded people who have worked there for years. Here's help for those analysts who have learned the basics of data modeling (or "entity/relationship modeling") but who need to obtain the insights required to prepare a good model of a real business. Structures common to many types of business are analyzed in areas such as accounting, material requirements planning, process manufacturing, contracts, laboratories, and documents. Topics In each chapter, high-level data models are drawn from the following business areas: * The Enterprise and Its World * The Things of the Enterprise * Procedures and Activities * Contracts * Accounting * The Laboratory * Material Requirements Planning * Process Manufacturing * Documents * Lower-Level Conventions
- 本の長さ268ページ
- 言語英語
- 出版社Dorset House
- 発売日1995/11/1
- 寸法19.05 x 1.91 x 26.67 cm
- ISBN-100932633293
- ISBN-13978-0932633293
登録情報
- 出版社 : Dorset House (1995/11/1)
- 発売日 : 1995/11/1
- 言語 : 英語
- ハードカバー : 268ページ
- ISBN-10 : 0932633293
- ISBN-13 : 978-0932633293
- 寸法 : 19.05 x 1.91 x 26.67 cm
- Amazon 売れ筋ランキング: - 382,011位洋書 (洋書の売れ筋ランキングを見る)
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Alan Nitikman
5つ星のうち5.0
THE book for learning data modeling
2017年8月4日にアメリカ合衆国でレビュー済みAmazonで購入
David Hay's Data Model Patterns is a foundational work on relational data modeling. He has written several excellent books since this one and the world of IT has changed in many ways since then, but the principles of good relational data architecture haven't. For data warehouse dimensional modeling, I would point you a different way -- Kimball's books as a foundation, Chris Adamson's Star Schema for a full design overview -- but, for modeling the enterprise, for understanding data modeling at a fundamental level, this is the book. David is passionate about his subject and convincing in his approach. You may have trouble even finding a tool that will allow you to model the way the book recommends (although, Oracle SQL Data Modeler is now a free app and SAP's PowerDesigner has Barker notation, included nested subtypes, and Hay has another book describing his adaptation of UML to model "his" way), but working your way through this short book, you will understand data modeling and how to-do it well.
M S Rao
5つ星のうち5.0
Good book
2019年4月7日にインドでレビュー済みAmazonで購入
Good explanation of data models.
Christopher Wanko
5つ星のうち4.0
Potentially valuable, but primarily as a reference.
2005年5月31日にアメリカ合衆国でレビュー済みAmazonで購入
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
Poivron Jaune
5つ星のうち3.0
Old ideas but still relevant
2019年3月10日にカナダでレビュー済みAmazonで購入
These are old IT concepts that still have their place in system design.
T. J. McCurdy
5つ星のうち3.0
"The Data Model Resource Book" is THE BEST book on data modeling
2018年2月3日にアメリカ合衆国でレビュー済みAmazonで購入
Meh. It's OK. You will not learn very many "real world scenarios" here on how to model your data, or database. By far, "The Data Model Resource Book" is THE BEST book on data modeling, and provides sooo many real world scenarios that you come away understanding how to model everything. This book is OK, and may add some supplemental information that wasn't learned in the other above book, but you really won't accomplish much reading this.