Microsoft Fabric Updates Blog

Accelerating Data Movement by using Fast Copy to unlock performance and efficiency during data ingestion from SQL database in Fabric

Accelerating Data Movement: Leveraging Fast Copy Feature in Dataflow to ingest SQL database faster. Unlocking Performance and Efficiency for Modern Data Workloads. The Fast Copy feature in Dataflow is designed to dramatically reduce data movement latency. It minimizes data movement latency primarily through bulk loading and parallel processing by dividing large datasets into manageable chunks. … Continue reading “Accelerating Data Movement by using Fast Copy to unlock performance and efficiency during data ingestion from SQL database in Fabric”

Streamlining Data Management with Workspace Collation Settings in Microsoft Fabric Warehouse and SQL Endpoint

Motherson, a global manufacturing specialist industry and one of the world’s leading automotive suppliers, faced significant challenges during their migration to Microsoft Fabric. They shared how the workspace collation settings transformed their experience: “As part of our migration from Microsoft SQL Server to Microsoft Fabric, we hit a major roadblock with the default case-sensitive collation … Continue reading “Streamlining Data Management with Workspace Collation Settings in Microsoft Fabric Warehouse and SQL Endpoint”

AI Ready Apps: From RAG to Chat – Interacting with SQL Database in Microsoft Fabric using GraphQL and MCP

In the current digital environment, applications are expected to offer more than basic functionality, they must demonstrate intelligence, adaptability, and provide seamless user experiences. To remain competitive, organizations increasingly recognize that effective data utilization is fundamental to driving innovation. Data powers real-time insights and supports advanced agentic AI systems capable of reasoning, acting, and learning. … Continue reading “AI Ready Apps: From RAG to Chat – Interacting with SQL Database in Microsoft Fabric using GraphQL and MCP”

Connect to your SQL database in Fabric using Python Notebook

Read/Write to SQL database in Fabric using Python Notebook You created your SQL database in Fabric because you wanted to take full advantage of all the existing workloads without worrying about integration pain points. Python notebook integration with SQL was highly requested. We are thrilled to share you can seamlessly use a python notebook to … Continue reading “Connect to your SQL database in Fabric using Python Notebook”

Sunsetting Default Semantic Models – Microsoft Fabric

Overview Microsoft Fabric is officially sunsetting Default Semantic Models. This change is part of our ongoing efforts to simplify and improve the manageability, deployment, and governance of Fabric items such as warehouse, lakehouse, SQL database, and mirrored databases. Why the Change? Default Semantic Models were initially designed to provide a lightweight, out-of-the-box experience—automatically generating models … Continue reading “Sunsetting Default Semantic Models – Microsoft Fabric”