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Microsoft Fabric Updates Blog

  1. Uuendused
  2. Apache Spark

Native Execution Engine available at no additional cost!

  • Headshot of article author oktoober 28, 2024 korda Estera Kot 795 Vaatamised

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 oktoober 22, 2024 korda Estera Kot 10 416 Vaatamised

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

  • Headshot of article author oktoober 9, 2024 korda Misha Desai 39 019 Vaatamised

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”

Introducing High Concurrency Mode for Notebooks in Pipelines for Fabric Spark

We’re excited to introduce high concurrency mode for notebooks in pipelines, bringing session sharing to one of the most popular orchestration mechanisms for enterprise data ingestion and transformation. Notebooks will now automatically be packed into an active high concurrency session without compromising performance or security, while paying for a single session. Key Benefits: Why Use … Continue reading “Introducing High Concurrency Mode for Notebooks in Pipelines for Fabric Spark”