Data Model Patterns David C Hay 9780932633743 Books
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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
Data Model Patterns David C Hay 9780932633743 Books
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.Product details
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Tags : Data Model Patterns [David C. Hay] on Amazon.com. *FREE* shipping on qualifying offers. 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,David C. Hay,Data Model Patterns,Dorset House,0932633749,Data Modeling & Design,Computer Books: General,Computers,Computers Data Modeling & Design,Data Structures
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Data Model Patterns David C Hay 9780932633743 Books Reviews
This book is one of my go-to books when I need to put together a data model based on limited input from the client. It enables me to quickly provide a data model diagram that is a decent starting point for discussion.
i have had the pleasure of working with david on a just few occasions going back to our days at Oracle in the early 90's. this is the book you need to study if you plan on doing any serious relational database system. excellent insights, practical, it will make a difference in your design and development work.
I ordered this book from the used book store link on the product home page. The seller claimed that this book was 'Like New'. I don't know how they distinguish New and 'Like New'. This book is absolutely new and it even has the wonderful smell of a new book! The contents of the book speak for themselves. This is a must have for anyone even remotely involved in Data Modeling. The concepts here are so fundamental that most popular ERP systems today use these concepts.
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.
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.
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
In his own data modeling consulting, David Hay discovered that for all enterprises, there were common patterns of entities and relationships in various topical areas, whatever the organization. So he set about capturing those ideas in very high-level data models, and he put them together in a book.
This book is quite an intellectual accomplishment, because he has boiled down many different areas into their essentials and has captured those essentials. If you face a data modelling problem, it's likely that one or more of his patterns will work for you and jump-start your efforts.
These are high level models, and don't take you all the way to database design. You'll still have a lot of design decisions to make. But the framework given in these models will help you explore your own problem to discover if you've covered all the eventualities that Mr. Hay considered in his work.
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.
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