If you are a Fabric analytics professional and haven’t heard of Semantic Link Labs, you are missing out. Semantic Link Labs is a Python library designed for use in Microsoft Fabric notebooks that allows you to programmatically access and modify content and metadata in Power BI semantic models and reports. It was designed to have a low learning curve, even if you aren’t an experienced Python developer. In this session, you will learn (at least) 4 things you can do with this powerful library. We’ll look at scenarios such as finding which custom visuals are used across reports in a workspace, finding which measures from a shared semantic model are used in which reports, migrating report-level measures into the source semantic model, and more. Join this session to get a quick intro to Semantic Link Labs along with lots of demos.

You will learn:

• How to import Semantic Link Labs in a Fabric notebook
• How to call the functions in the sempy_labs package
• See how to chain sempy_labs functions and basic python together to create useful solutions