Microsoft Fabric Updates Blog

OneLake data access roles – Public Preview Announcement

The OneLake team is thrilled to announce the release of OneLake data access roles for lakehouse in public preview. Data access roles build upon the existing capabilities of OneLake’s security model to increase the granularity at which security can be applied within a Fabric data item. This feature adds an inheritable RBAC (role-based access control) … Continue reading “OneLake data access roles – Public Preview Announcement”

Fabric Real-Time Analytics Integrates with Newly Announced Database Watcher for Azure SQL

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 … Continue reading “Fabric Real-Time Analytics Integrates with Newly Announced Database Watcher for Azure SQL”

Analyze Dataverse tables from Microsoft Fabric

We are excited to announce we’ve made it easier than ever for Dynamics 365 and Power Apps customers to extend their insights into Fabric. In November 2023 we announced the ability to Link to Fabric from the Power Platform Maker Portal. This allows makers to easily analyze their data in Fabric through a single action … Continue reading “Analyze Dataverse tables from Microsoft Fabric”

Bridging Fabric Lakehouses: Delta Change Data Feed for Seamless ETL

Within Microsoft Fabric, Delta Tables serve as a common file/table format. These tables find application both in the Data Warehouse and as managed tables within the Lakehouse. Their versatility extends to several features and functionalities, making them indispensable in various use cases. One such feature is the Delta Change Data Feed. While not new to Microsoft Fabric, this … Continue reading “Bridging Fabric Lakehouses: Delta Change Data Feed for Seamless ETL”