Steve Hoberman teaches data modeling using the Data Modeling Master Class training manual. You can purchase the manual before attending the Master Class. The current schedule and description for the course are available here.
The Master Class is a complete data modeling course containing three modules. After completing Module 1, you will be able to explain the benefits of data modeling, apply the five settings to build a data model masterpiece, and know how and when to use each data modeling component (entities, attributes, representatives, relationships, subtyping, keys, hierarchies, and networks). After completing Module 2, you will be able to create conceptual, logical, and physical relational and dimensional data models. You will also learn how NoSQL data models differ from traditional in terms of structure and modeling approach. After completing Module 3, you will be able to apply data model best practices through the ten categories of the Data Model Scorecard®. You will know not just how to build a data model, but how to build a data model well. Through the Scorecard, you will be able to incorporate supportability and extensibility features into your data model, as well as assess the quality of any data model.
Case studies and many exercises reinforce the material and will enable you to apply these techniques in your current projects. This course assumes no prior data modeling knowledge and, therefore, there are no prerequisites.
About Steve
Steve Hoberman has been a data modeler for over 30 years, and thousands of business and data professionals have completed his Data Modeling Master Class. Steve is the author of nine books on data modeling, including The Rosedata Stone and Data Modeling Made Simple. Steve is also the author of Blockchainopoly. One of Steve’s frequent data modeling consulting assignments is to review data models using his Data Model Scorecard® technique. He is the founder of the Design Challenges group, creator of the Data Modeling Institute’s Data Modeling Certification exam, Conference Chair of the Data Modeling Zone conferences, director of Technics Publications, lecturer at Columbia University, and recipient of the Data Administration Management Association (DAMA) International Professional Achievement Award.
