Why spend millions of dollars and thousands of hours every year developing solutions that fail to deliver? There is so much waste due to poorly capturing and articulating business requirements. Data models prevent this waste by capturing business terminology and needs in a precise form and at varying levels of detail, ensuring fluid communication across business and IT.

Take the Data Modeling Master Class to become competent in data modeling. The Data Modeling Master Class is the course on data modeling, and is offered virtually several times a year publicly or as a dedicated virtual class just for your group. This data modeling training class assumes no prior data modeling knowledge, and therefore, there are no prerequisites. Steve Hoberman has been teaching data modeling since 1992 and the material is updated biannually to reflect the latest trends in our industry. Over 500 slides, 30 exercises, and 20 hours of instruction cover three modules: Module 1 on Fundamentals, Module 2 on Scheme, and Module 3 on the Scorecard.

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 properly 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 be able to distinguish NoSQL data models from traditional in terms of modeling structure and approach. After completing Module 3, you will be able to apply data model best practices through the ten categories of the Data Model Scorecard®. These categories are Correctness, Completeness, Scheme, Structure, Abstraction, Standards, Readability, Definitions, Consistency, and Data. 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.

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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.

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