October 30, 2024 by Patrick LeBlanc 44,683 Views
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 …
As part of the consumption model for Eventhouse, we are enabling Standard Storage consumption. This change is scheduled to start rolling out the week of September 16th. This means that you will start seeing billable consumption of the OneLake Storage Data Stored meter from the Eventhouse and KQL Database artifacts. For details on all things …
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At Microsoft, we’re dedicated to enhancing the user experiences and optimizing processes through innovation. We’re thrilled to share that, starting the first week of September, we’ll be rolling out a new and improved design for the Deployment Pipeline. This update introduces a range of changes, additions, and improvements designed to elevate your deployment process. What’s …
Welcome to the Fabric Influencers Spotlight, a recurring monthly post here to shine a bright light on the places on the internet where Microsoft MVPs & Fabric Super Users are doing some amazing work on all aspects of Microsoft Fabric. The Microsoft Fabric Community team has created the Fabric Influencers Spotlight to highlight and amplify …
Anomaly Detector, one of Azure AI services, enables you to monitor and detect anomalies in your time series data. This service is based on advanced algorithms, SR-CNN for univariate analysis and MTAD-GAT for multivariate analysis and is being retired by October 2026. In this blog post we will lay out a migration strategy to Microsoft Fabric, allowing …
Continue reading “Advanced Time Series Anomaly Detector in Fabric”
Welcome to the August 2024 Update. Here are a few, select highlights of the many we have for Fabric. V-Order behavior of Fabric Warehouses allows you to manage the V-Order behavior at the warehouse level. Monitor ML Experiments from the Monitor Hub allows you to integrate experiment items into Monitoring Hub with this new feature. …
