Microsoft Fabric October 2023 update We have a lot of features this month including updates to the Item type icons, Keyword-Based Filtering of Tenant Settings, On-object Interaction updates, Eventstream Kafka Endpoints and many more. Continue reading for more details on our new and updated features! Core Item type icons Admin Keyword-Based Filtering of Tenant Settings … Continue reading “Microsoft Fabric October 2023 update”
Microsoft Fabric offers a set of different tools to explore and prepare the data for analysis and from that perspective, notebooks have become one of the quickest ways to get started with data exploration. This post draws its inspiration from the world of experimentation, exploration, and seamless integration into Microsoft Fabric- Data Science in Microsoft … Continue reading “Fabric Change the Game: Exploring the data”
Welcome to the September 2023 update. We have lots of features this month including updates to the monitoring hub, Fabric Metrics app, VS code integration for Data Engineering, Real-time data sharing and many more. Continue reading for more details on our new features! Contents Core Monitoring hub – column options OneLake OneLake file explorer (v.1.0.10) … Continue reading “Microsoft Fabric September 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”
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”
