As a Data Architect at Datashift, I've had the opportunity to work extensively with Microsoft Fabric since its introduction. Over the past year and a half, Fabric has shown tremendous promise, but like any new technology, it has had its challenges.
Self-service BI allows business users to independently access, visualize, and analyse data. Although this sounds very promising for organizations, it also introduces challenges and potential pitfalls.
In this technical blog post, we will explore the key features and benefits of MSSparkUtils, and how it can be effectively utilized to accelerate working with Spark on Azure Fabric.
While it used to be only available in Power BI, you can now build Default Semantic Models directly in Fabric using your tables from the Lakehouse or Warehouse.
