Manage the semantic model development lifecycle

  • Module
  • 9 Units
Intermediate
Data Analyst
Power BI
Microsoft Fabric

Manage semantic models through their full development lifecycle. Create reusable assets, version-control with Git, inspect and validate with the XMLA endpoint and SemPy, deploy through pipelines, and maintain with monitoring and impact analysis.

Learning objectives

By the end of this module, you'll be able to:

  • Create reusable Power BI assets
  • Manage Power BI content in version control
  • Manage semantic models with the XMLA endpoint
  • Deploy content through stages
  • Maintain and monitor semantic models

Prerequisites

  • Experience with Power BI Desktop and the Power BI service
  • Understanding of semantic model concepts
  • Familiarity with Python and Fabric notebooks, including DataFrames
  • Foundational Git workflow knowledge (fork, branch, commit, sync, merge, pull request)
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