[(Data Modeling Made Simple with ER/Studio Data Architect)] [ By (author) Steve Hoberman ] [May, 2013]

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