Microsoft Fabric Updates Blog

Native Execution Engine available at no additional cost!

We’re thrilled to announce that the Native Execution Engine is now available at no additional cost, unlocking next-level performance and efficiency for your workloads. What’s New?  The Native Execution Engine now supports Fabric Runtime 1.3, which includes Apache Spark 3.5 and Delta Lake 3.2. This upgrade enhances Microsoft Fabric’s Data Engineering and Data Science workflows, … Continue reading “Native Execution Engine available at no additional cost!”

Adding more flexibility to your business applications with support for Service Principal Names (SPNs) in Fabric API for GraphQL

  We are enhancing enterprise-grade security and authentication by introducing Service Principal Names (SPN) support for API for GraphQL in Microsoft Fabric. This new feature offers organizations looking to integrate their apps with API for GraphQL in Microsoft Fabric tie seamlessly with their enterprise identity and access management systems.  By leveraging SPNs, businesses can now … Continue reading “Adding more flexibility to your business applications with support for Service Principal Names (SPNs) in Fabric API for GraphQL”

Fabric Runtime 1.3 is Generally Available! Upgrade your data engineering and science workloads to harness the latest innovations and performance enhancements

We’re thrilled to announce that Fabric Runtime 1.3 has officially moved from Public Preview to General Availability (GA). This is a major upgrade to our Apache Spark-based big data execution engine, which powers both data engineering and data science workflows. Fabric Runtime 1.3 is now fully integrated into the Fabric platform, ensuring a smooth and … Continue reading “Fabric Runtime 1.3 is Generally Available! Upgrade your data engineering and science workloads to harness the latest innovations and performance enhancements”

Optimizing Spark Compute for Medallion Architectures in Microsoft Fabric

Guidance to Maximizing Productivity and Efficiency for your Data Engineering Workloads Data engineering teams often grapple with the complexities of planning and configuring compute resources for their data platforms. This is especially true when working with large-scale, complex datasets and demanding downstream SLAs. A one-size-fits-all approach is rarely effective, as different data layers and datasets … Continue reading “Optimizing Spark Compute for Medallion Architectures in Microsoft Fabric”

Microsoft Fabric and AI Learning Hackathon: Copilot in Fabric

This session is part of the Microsoft Fabric and AI Learning Hackathon which focuses on how you can leverage Copilot in Microsoft Fabric. It will guide you through the various capabilities that Copilot offers for you to use Microsoft Fabric, empowering you to enhance productivity and streamline your workflows. We will dive deep into practical … Continue reading “Microsoft Fabric and AI Learning Hackathon: Copilot in Fabric”