This interactive seminar and workshop is for anyone who already knows modelling fundamentals and is seeking more advanced techniques. In this Masterclass, delegates will first apply a best practices approach to building and validating data models through the Data Model Scorecard™, a tool for validating data model quality. Delegates will then focus on a collection of intermediate and advanced modelling techniques, including advanced
normalization and enterprise data modelling. The final section contains guidelines used to gain consistency across data models in areas such as in abstraction and whether to star schema or snowflake.
Steve Hoberman is the most requested data modelling instructor in the world. Introduced at over 50 international conferences as everything from a “data modelling guru” to “data modelling rock star”, Steve balances the formality and precision of data modelling with the realities of building software systems with severe time, budget, and people constraints. In his consulting and teaching, he focuses on templates, tools, and guidelines to reap the benefits of data modelling with minimal investment. He taught his first data modelling class in 1992 and has educated more than 10,000 people about data modelling and business intelligence techniques since then, spanning every continent except Africa and Antarctica. Steve is known for his entertaining, interactive teaching and lecture style (watch out for flying candy!), and is the author of five books on data modelling, including the bestseller Data Modelling Made Simple. He is the founder of the Design Challenges group, inventor of the Data Model Scorecard®, and CEO of Technics Publications.