Oktober 30, 2024 von Patrick LeBlanc 28’814 Ansichten
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 …
Mirroring is now available to customers in Public Preview. You can now seamlessly bring your databases into OneLake in Microsoft Fabric, enabling seamless zero-ETL, near real-time insights on your data – and unlocking warehousing, BI, AI, and more.
Welcome to the March 2024 update. We have a lot of great features this month including OneLake File Explorer, Autotune Query Tuning, Test Framework for Power Query SDK in VS Code, and many more! Earn a free Microsoft Fabric certification exam! We are thrilled to announce the general availability of Exam DP-600, which leads to …
In the past, a workspace would always end up being filled by hundreds of items as the project progressed. It would become harder and harder to find an item, or to put related items in the same place. This leads to cluttered workspaces and decreased productivity during collaboration. Today, we are very excited to announce …
Continue reading “Announcing Folder in Workspace in Public Preview”
Lifecycle Management is a topic that is crucial for any organization to establish, and with Microsoft Fabric, it has never been easier to embark on this journey. In this article, we will delve into the essentials of enabling it through a demo scenario, but before we dive in, let’s take a moment to explore what …
Users of Azure SQL can now take advantage of an enhanced monitoring solution for their databases and leverage integration with Microsoft Fabric. With the introduction of the new Database Watcher for Azure SQL (preview), users gain access to advanced monitoring capabilities. Through integration with Microsoft Fabric, they can effortlessly stream, store, and analyze monitoring data …
