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Microsoft Fabric Updates Blog

  1. Updates
  2. Announcements

Announcing the Fabric Readiness Repo: Empowering Communities with Microsoft Fabric Resources

Introduction: The Fabric Readiness repository is a treasure trove of resources for anyone interested in exploring the exciting world of Microsoft Fabric. As its name suggests, this repository is designed to help communities learn about and discuss topics related to Fabric, making it an invaluable resource for user groups, online presentations, in-person conferences, and customer … Continue reading “Announcing the Fabric Readiness Repo: Empowering Communities with Microsoft Fabric Resources”

Microsoft Fabric Data Factory Webinar Series – September 2023

Are you interested in learning more about Data Factory, the cloud-based data integration service that allows you to create data-driven workflows in Microsoft Fabric? If so, you are invited to join our webinars, where we will show you how to use Data Factory to transform and orchestrate your data in various scenarios. Each webinar will … Continue reading “Microsoft Fabric Data Factory Webinar Series – September 2023”

Microsoft Fabric August 2023 update

Welcome to the August 2023 update. We have lots of features this month including the new layout switcher for Power BI, SSD caching in Synapse Data Warehouse, in-line Python support for KQL in Synapse Real-time Analytics, lookup activity for Data Factory Dataflows, and much more. Continue reading for more details on our new features! Contents … Continue reading “Microsoft Fabric August 2023 update”

Introducing High Concurrency Mode in Notebooks for Data Engineering and Data Science workloads in Microsoft Fabric

We are excited to announce a new high concurrency mode in Fabric for Data Engineering and Data Science. This allows users to share Spark compute across multiple notebooks within a workspace which means that you can run multiple Spark notebooks simultaneously on the same Spark session without compromising performance or security when paying for a … Continue reading “Introducing High Concurrency Mode in Notebooks for Data Engineering and Data Science workloads in Microsoft Fabric”