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.
If you want to extract value from your data, leveraging data to gain insights and support decisions is virtually impossible without a timely and well-scoped data validation.
With the general availability of Microsoft Fabric, the platform is ready to be deployed in your organization. But what is the impact of deploying a product like Fabric?
