Fabric Semantic Link: Power BI as a Machine Learning Data Source
This video walks through how to use Fabric Semantic Link to integrate Power BI as a data source for developing machine learning models. Viewers will see a step-by-step guide on connecting to Power BI measures, querying the data, and training an ML model within Microsoft Fabric.
Description
This video shows you how to use Fabric Semantic Link to leverage Power BI as a data source for Machine Learning model development in Fabric Data Science.
Microsoft Fabric Semantic Link provides a way for Power BI models to be used as a data source for data scientists creating machine learning models.
This video is a walk-through of the following blog post: https://learn.microsoft.com/en-us/python/api/semantic-link-sempy/sempy.fabric?view=semantic-link-python
Quick Links:
0:00 Introduction
1:09 Power BI Dashboard
1:46 Python Notebook
2:58 Connect to Fabric
3:52 List Power BI Measures
4:37 Query Power BI Data
6:41 Train the ML Model
8:55 Review Registered Model
9:48 Summary