Microsoft Fabric and Azure Databricks are widely used data platforms. This article aims to address the requirement of customers who have large data estates in Azure databricks and want to unlock additional use cases in Microsoft Fabric arising out of different business teams. When integrating the two platforms, a crucial security requirement is to ensure … Continue reading “Integrating Fabric with Databricks using private network”
We’re thrilled to introduce Automated Table Statistics in Microsoft Fabric Data Engineering — a major upgrade that helps you get blazing-fast query performance with zero manual effort. Whether you’re running complex joins, large aggregations, or heavy filtering workloads, Fabric’s new automated statistics will help Spark make smarter decisions, saving you time, compute, and money. What … Continue reading “Boost performance effortlessly with Automated Table Statistics in Microsoft Fabric”
Fabric User Data Functions is a serverless platform that allows you to build and run functions on the Fabric platform. You can use your functions to interact with your data and the rest of your Fabric items via native integrations. After the Fabric User Data Functions preview, we have been working on increasing the number … Continue reading “New regions supported for Fabric User Data Functions”
Summarize, group, and explore data in one step with the new GraphQL aggregations feature We’re excited to launch a powerful new capability in the Fabric API for GraphQL—Aggregations. This feature brings native support for summary-level insights directly into your GraphQL queries, making your data exploration faster, simpler, and more efficient. Why Aggregations? Until now, getting … Continue reading “Introducing Aggregations in Fabric API for GraphQL: Query Smarter, Not Harder”
With AI-powered capabilities in Data Wrangler, you can now do even more to accelerate exploratory analysis and data preparation in Fabric.
