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”
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.”
Additional authors: Joanne Wong The preview of the integration between Fabric data agents and Microsoft Copilot Studio is now available, introducing a robust capability that enables agents to interoperate seamlessly across tools. This enhancement is designed to streamline the development, deployment, and scaling of intelligent agents across enterprise data environments, reinforcing automation and extensibility within … Continue reading “Fabric Data Agents + Microsoft Copilot Studio: A New Era of Multi-Agent Orchestration (Preview)”
Copy Job is now the preferred solution in Microsoft Fabric Data Factory for simplified data movement, whether you’re moving data across clouds, from on-premises systems, or between different services. With robust support for both batch and incremental copying, it offers the flexibility to tackle a wide range of scenarios with ease. We continuously improve Copy … Continue reading “Simplifying Data Ingestion with Copy job – Copy Data from Database View, Sample dataset and New Connectors”
