september 25, 2024 door Jason Himmelstein 251.895 Weergaven
Welcome to the September 2024 Update!
Announcements
We have a lot of exciting announcements to share with you for FabCon Europe! We’ve brought Copilot to Dataflows Gen2 and a richer Copilot experience when building and consuming Power BI Reports. With Real-Time Intelligence we have redesigned and enhanced user experience in the Real-Time hub.
At //Build 2024 earlier this year, we released the public preview of Copilot for Data Warehouse – Announcing the Public Preview of Copilot for Data Warehouse in Microsoft Fabric | Microsoft Fabric Blog | Microsoft Fabric. In this previous announcement, you can find a deep dive of the capabilities offered as part of Copilot for …
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Overview This blog will walk thru the new capabilities in Mirroring Azure SQLDB in Fabric since our public preview announcement earlier in March 2024. Today, we also announced general availability of Mirroring for Snowflake in Microsoft Fabric. To recap, the 3 key benefits of Mirroring are: Over the past few months, we’ve removed limitations to …
Continue reading “Mirroring Azure SQLDB – new features and what’s coming up?”
We’ve made key improvements to our new editor in Fabric Data warehouse and SQL analytics endpoint to improve the consistency and efficiency of SQL developers’ experiences! Starting with the ribbon, the actions presented would change depending on your context in our previous editor. This lacked consistency with other Fabric tools and required extra click stops …
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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”
Fabric Apache Spark Diagnostic Emitter for Logs and Metrics is now in public preview. This new feature allows Apache Spark users to collect Spark logs, job events, and metrics from their Spark applications and send them to various destinations, including Azure Event Hubs, Azure Storage, and Azure Log Analytics. It provides robust support for monitoring …
Continue reading “Announcing the Fabric Apache Spark Diagnostic Emitter: Collect Logs and Metrics”
