十月 30, 2024 作者 Patrick LeBlanc 44,721 视图
Welcome to the October 2024 Update! Here are a few, select highlights of the many we have for Fabric this month. API for GraphQL support for Service Principal Names (SPNs). Introducing a powerful new feature in Lakehouses: Sorting, Filtering, and Searching capabilities. An addition to KQL Queryset that will revolutionize the way you interact with …
Share Your Feedback We are committed to continuously improving Real-Time Intelligence and Data Activator. We’d love to hear what you think and how you’re using the product. The best way to get in touch with us is through our community forum or submit an idea. For detailed how-tos, tutorials and other resources, check out the documentation What’s Next? We’ll …
Continue reading “Announcing Updates to Data Activator in Public Preview”
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”
