Data Modeling Made Simple will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices. This book is written in a conversational style that encourages you to read it from start to finish and master these ten objectives:

1. Know when a data model is needed and which type of data model is most effective for each situation;

2. Read a data model of any size and complexity with the same confidence as reading a book;

3. Build a fully normalized relational data model, as well as an easily navigatable dimensional model;

4. Apply techniques to turn a logical data model into an efficient physical design;

5. Leverage several templates to make requirements gathering more efficient and accurate;

6. Explain all ten categories of the Data Model Scorecard;

7. Learn strategies to improve your working relationships with others;

8. Appreciate the impact unstructured data has, and will have, on our data modeling deliverables;

9. Learn basic UML concepts;

10. Put data modeling in context with XML, metadata, and agile development. Это и многое другое вы найдете в книге Data Modeling Made Simple: A Practical Guide for Business and IT Professionals (Steve Hoberman)