Hear the author, Steve Hoberman, talk about this book.

Data Modeling Made Simple with ER/Studio Data Architect will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices, along with how to apply these principles with ER/Studio. You'll build many ER/Studio data models along the way, applying best practices to master these ten objectives:

1. You will know why a data model is needed and which ER/Studio models are the most appropriate for each situation
2. You will be able to read a data model of any size and complexity with the same confidence as reading a book
3. You will know how to apply all the key features of ER/Studio
4. You will be able to build relational and dimensional conceptual, logical, and physical data models in ER/Studio
5. You will be able to apply techniques such as indexing, transforms, and forward engineering to turn a logical data model into an efficient physical design
6. You will improve data model quality and impact analysis results by leveraging ER/Studio’s lineage functionality and compare/merge utility
7. You will achieve enterprise architecture through ER/Studio’s repository and portal functionality
8. You will be able to apply ER/Studio’s data dictionary features
9. You will learn ways of sharing the data model through reporting and through exporting the model in a variety of formats
10. You will leverage ER/Studio’s naming functionality to improve naming consistency