Let’s be honest, manually building and maintaining semantic models takes way too much time and effort. And when configurations are deleted on purpose, having to rebuild everything from scratch is just frustrating. In this session, we’ll show how to automate semantic model deployment using only native Fabric tooling. The goal? Model smarter, not harder! With less manual work, more consistency, and a super simple way to build and empower a semantic model creation. Plus enable insights with a Data agent!

During this session you will see the following benefits.
• Use the power of XMLA endpoints (Same logic for SSAS, Azure Analyses Services and Power BI / Fabric models)
• Always add time intelligence in one go with a standardized approach. (Standaard date table)
• Use naming conventions for automation purposes to retrieve better value out of the data agents.
• Stil be able to adjust manual sections for your customer definitions.
• Seeing the value of standardizing date tables for time intelligence
What more could you ask for?!
• Understand the lifecycle of semantic models in Fabric.
• Understand the importance of Metadata for generation models and metrics.
• Seeing the value of standardizing date tables for time intelligence
• Flexibility & Scalability

Audience:
Technical People looking for automation they did not find out yet, with a slightly business focus as well.
Prerequisites:
Knowledge of Semantic models, DAX , Python & Notebooks.