Skip to Main Content
Data Model Patterns
book

Data Model Patterns

by David C. Hay, Richard Barker
July 2013
Beginner to intermediate content levelBeginner to intermediate
288 pages
7h 28m
English
Addison-Wesley Professional
Content preview from Data Model Patterns

1. Introduction

A data model is a representation of the things of significance to an enterprise and the relationships among those things. It portrays the underlying structure of the enterprise’s data, so this can then be reflected in the structure of databases built to support it.

This book takes the position that the underlying structures of many businesses and government agencies are very similar, and that it should therefore be possible to model these similar structures in similar ways. Using common shapes for common situations makes the models easier to read, and it guides the modeler closer to identifying truly fundamental things.

Data Modeling’s Promise—and Failure

Data modeling* serves two purposes in the systems analysis process: First, ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Semantic Modeling for Data

Semantic Modeling for Data

Panos Alexopoulos

Publisher Resources

ISBN: 9780133488654