Power BI Default Semantic Model or Custom; A Guide for Using in Fabric Environment
The Lakehouse or Warehouse comes with a default Power BI Sematic model, which can be used for reporting and analytics. However, you can also build and use a customized semantic model. There are significant differences when using the semantic model in real-world analytics projects. In this article, I’ll explain the difference between these two, which Read more about Power BI Default Semantic Model or Custom; A Guide for Using in Fabric Environment[…]
The post Power BI Default Semantic Model or Custom; A Guide for Using in Fabric Environment appeared first on RADACAD.
Published on:
Learn moreRelated posts
Power BI July 2025 Feature Summary
This month’s update marks a notable evolution for Power BI. With richer connections to Microsoft 365, smarter Copilot features, and the integr...
How to get the details for Power BI Performance load testing
When completing the Power BI performance load testing, you will need to get details from your Power BI report and App Workspace, which will la...
Power BI Copilot, AI Instructions And Dealing With Ambiguity
One of the most common questions I hear about Power BI Copilot is how you can stop it from guessing what a user means when they ask an ambiguo...
Step-by-Step Guide: Embed Copilot-Enabled Power BI Reports into Power Pages for AI-Driven Insights
In this blog, we will walk you through the detailed steps to configure and embed a Copilot-enabled Power BI report into a Power Pages portal. ...
Why should I complete Power BI Performance Load Testing & initial setup
It is becoming increasingly important to understand how the Power BI reports/Semantic Model that are being used in your organization are perfo...