Microsoft Power BI introduces notebooks and semantic links for analyzing semantic models

​Microsoft Power BI has introduced new capabilities aimed at enhancing the analysis and optimization of semantic models. These developments provide users with streamlined tools to improve model performance and efficiency.

Here’s what you need to know about these features:

  • Fabric Notebooks – A low-code, interactive solution for data engineers and data scientists to build Apache Spark jobs, manage data workflows, and develop machine learning models.

  • Semantic Link – Seamlessly connect semantic models with data science capabilities in Microsoft Fabric, unlocking deeper insights and advanced analytics.

  • Powerful Notebooks to optimize your models

    • Best Practices Analyzer – Get AI-driven recommendations to enhance performance, DAX expressions, error prevention, maintenance, and formatting.

    • Memory Analyzer – Gain insights into memory and storage usage for optimized model performance.

    • Community Notebooks – Share and discover notebooks to elevate Power BI analysis and reporting with the wider Power BI community.