Data Modeling Made Simple with erwin Data Modeler

Jeff Harris and Steve Hoberman explain data modeling and how to get up and running with erwin DM to build effective conceptual, logical and physical data models.

Jeff Harris and Steve Hoberman explain data modeling and how to get up and running with erwin DM. Step by step, business analysts, data professionals and project managers will learn how to build effective conceptual, logical and physical data models.

Complete the stages in identifying essential business requirements, designing the logical data model, transposing those logical modeling objects into physical tables and columns, and even generating the implementation database scripts.

 

About the Authors

Jeff Harris is principal data architect for a Fortune 200 company. He has more than30 years of IT experience, specializing in data modeling and data architecture for 20+ years. He has used erwin DM to work on global projects for large corporations in the banking, government, logistics, retail, freight and petroleum industries.

Steve Hoberman has trained more than 10,000 people in data modeling since 1992. Steve is known for his ability to translate business requirements into technical specifications. He is the author of nine books on data modeling, including the bestsellers Data Modeling Made Simple and The Rosedata Stone. One of Steve’s frequent data modeling consulting assignments is to review data models using his Data Model Scorecard® technique.

 

Master erwin DM to deliver robust and precise designs for both operational and analytical projects.

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