Welcome to the July 2025 Fabric Feature Summary! This month’s update covers major events like the return of the Microsoft Fabric Community Conference in Vienna, and the 10th anniversary of Power BI. Key platform enhancements include new domain tags and updates to the default category in the OneLake catalog. You’ll also find highlights on data … Continue reading “Fabric July 2025 Feature Summary”
After the first two blog posts you were able to get working quickly in the user context and then some real world advice in expanding your config and defining those Fabric Administrator resources. This is a common way to develop and test your initial config. In the third and fourth blog posts we will look … Continue reading “Terraform Provider for Microsoft Fabric: #3 Creating a workload identity with Fabric permissions”
We’re happy to announce that now you can read JSON Lines (JSONL) using the OPENROWSET(BULK) function for Microsoft Fabric Data Warehouse and SQL Analytics Endpoints for Lakehouses. The OPENROWSET(BULK) function allows you to query external data stored in the lake using well-known T-SQL syntax. With this update, you can now also query files in JSON Lines format, expanding the range of supported formats and simplifying access … Continue reading “Read JSON Lines files with OPENROWSET in Fabric Data Warehouse and Lakehouse SQL Analytics Endpoint”
As we continue to mature the Microsoft Fabric platform, we’re taking steps to streamline and simplify the experience for administrators and compliance teams who rely on audit logs. Beginning July 2025, we’re consolidating a number of redundant audit operations into a unified model that reflects our broader platform architecture. This change impacts how operations for … Continue reading “Standardizing Audit Operations for Warehouse, DataMarts and SQL Analytics Endpoint.”
We are continuously enhancing data agents in Fabric to deliver more powerful and flexible data experiences. In February of this year, we introduced a host of new improvements coming to the AI Skill—including support for additional Data Sources such as Eventhouse KQL and Semantic Models. Initially, integration to data sources was limited to sources with … Continue reading “Expanded Data Agent Support for Large Data Sources”
