Data Modeling for the Business: A Handbook for Aligning the Business with IT using High-Level Data Models

by Steve Hoberman, Donna Burbank, Chris Bradley

Learn about the High-Level Data Model and master the techniques for building one, including a comprehensive ten-step approach and hands-on exercises to help you practice topics on your own. In this book, we review data modeling basics and explain why the core concepts stored in a high-level data model can have significant business impact on an organization. We explain the technical notation used for a data model and walk through some simple examples of building a high-level data model. We also describe how data models relate to other key initiatives you may have heard of or may be implementing in your organization. This book contains best practices for implementing a high-level data model, along with some easy-to-use templates and guidelines for a step-by-step approach.

230 pages, Paperback

First published April 1, 2009

Reviews

[Zaher Alhaj · Rating 4 out of 5]

The book is a very apt how-to reference for Enterprise Data Architects who work on developing the so-called Enterprise Data Models (EDM) as part of the whole Enterprise Architecture. It provides a very practical approach for High-level data modeling and provides handy tips for Data Architects. However, if you are into more detailed modeling activities (i.e. logical data modeling for relational or dimensional databases) you will find this book a bit general.
All in all I do recommend it for those interested in Enterprise Data Modeling.

[Maziz · Rating 3 out of 5]

Good starter book