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Data Modeling Master Class Training Manual: Steve Hoberman's Best Practices Approach to Understanding and Applying Fundamentals Through Advanced Modeling Techniques
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 on Steve Hoberman's website, stevehoberman.com.
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.
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.
257 pages, Paperback
Published August 27, 2022
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