If you're a citizen developer, business user, or rising data star that hasn't worked on large deployments, it can be difficult to understand what a well architected Power BI solution should look like.

This course is designed for users who want to learn to enhance Power BI models for enterprise deployment, creating sharing strategies, and ensure correct security. In this course, you will learn valuable tools to upgrade your semantic models to enterprise-grade solutions and take your organization's data analytics to the next level.

First, the session will review how to architect models for enterprise. It will look at configuring tables, columns, hierarchies, and measures using tools such as Tabular Editor.

Next, we’ll look at the deployment of Power BI models and how to manage the content effectively. It covers version control, DevOps, and build and deployment pipelines. We’ll cover all terminology at a introductory level so you won’t get left behind. You will learn publication options, how to configure datasets, set refreshes and monitor semantic models, plus what Fabric means for Power BI.

Then we’ll cover different sharing strategies for sharing distributing content and how to collaborate with workspaces and compare different sharing techniques. You will learn how about role-based access control (RBAC), row-level security (RLS), and security labels. We’ll learn some common data leak pitfalls and how to avoid them.


Participants should have a basic understanding of Power BI and data modeling concepts, including tables, relationships, and measures. Prior experience with Tabular Editor and DevOps is not required, but it may be helpful.