Standardizing insights with the dbt Semantic Layer

Learn how to build and consume governed metrics using the dbt Semantic Layer. You’ll start with a dbt project, define semantic models and metrics, validate logic and grain, and then confirm that metrics can be consumed consistently downstream to support a single source of truth.

After this lab, you will be able to:

• Explain how semantic models and metrics support consistent measurement across teams
• Define a metric and validate its underlying logic and grain
• Demonstrate consumption of a governed metric in a downstream workflow (tooling-dependent)

Prerequisites:

• dbt Fundamentals, specifically data modeling and model configurations

What to bring: You must bring your own laptop to complete the hands-on exercises. We will provide any required sandbox environments for dbt and the data platform.

Duration: 90 minutes