Data Modeling in Sigma

Stop rewriting the same joins and calculations, and dive into well-governed, scalable analytics using Sigma data models. In this course, you’ll learn the when and why of data models in Sigma, understanding their unique abilities to increase performance, standardize calculations across an organization, and govern sensitive information.

We’ll explore unions, joins, relationships, metrics, parameters, and column-level security to create and share solid building blocks for analysis.

By the end of this course, you’ll know when to make a data model, and which features you’ll need to fit your use case. No more ad hoc joins, and no more user confusion.