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Microsoft Fabric Updates Blog

  1. Oppdateringer
  2. Apache Spark

APIs for Managed Private Endpoint are now available

Managed private endpoints allow Fabric experiences to securely access data sources without exposing them to the public network or requiring complex network configurations. We announced General Availability for Managed Private Endpoint in Fabric in May of this year. Learn more here: Announcing General Availability of Fabric Private Links, Trusted Workspace Access, and Managed Private Endpoints. … Continue reading “APIs for Managed Private Endpoint are now available”

Native Execution Engine available at no additional cost!

  • Headshot of article author oktober 28, 2024 av Estera Kot 8 419 Visninger

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!”

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

  • Headshot of article author oktober 22, 2024 av Estera Kot 14 083 Visninger

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”

Enhancing Open Source: Fabric’s Contributions to FLAML for Scalable AutoML

At Fabric, we’re passionate about contributing to the open-source community, particularly in areas that advance the usability and scalability of machine learning tools. One of our recent endeavors has been making substantial contributions back to the FLAML (Fast and Lightweight AutoML) project, a robust library designed to automate the tedious and complex process of machine … Continue reading “Enhancing Open Source: Fabric’s Contributions to FLAML for Scalable AutoML”