Data Model Patterns: Conventions of Thought

by David C. Hay

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 * 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

Genres: Technology, Software, Programming, Business, Computer Science

268 pages, Hardcover

First published November 1, 1995

Reviews

[Pavels Kletnojs]

This book is extremely boring and extremely interesting at the same time.

[Graham]

Recommended on Scott Amblers Agile Data site

[Vladyslav Bondarenko]

I found this book rather difficult. There are very interesting concepts, but in order to utilize them properly you have to be an advanced developer.