Data Modeling Made Simple with ER/Studio Data Architect

by Steve Hoberman

Develop a practical working knowledge of data modeling concepts and best practices, along with how to apply these principles with ER/Studio. Master these 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 be able to apply ER/Studio's data dictionary features

479 pages, Kindle Edition

First published April 15, 2013

Reviews

[pallav mishra · Rating 2 out of 5]

This is not a book on data modeling. It is just a user manual for the ER studio. I have a license and am learning it, but I guess this book is not where you should start.