Microsoft Fabric Updates Blog

What’s new with SAP connectivity in Microsoft Fabric – July 2025

For enterprise customers, SAP represents one of the most valuable data sources. Integration of SAP data with other non-SAP data estates is a frequent requirement of Microsoft Fabric customers. Consequently, we are continually working to expand the options for SAP data integration to ensure that every customer has a viable solution tailored to their specific … Continue reading “What’s new with SAP connectivity in Microsoft Fabric – July 2025”

Connecting AI Agents to Microsoft Fabric with GraphQL and the Model Context Protocol (MCP)

Have you ever wondered how to give AI assistants access to your organization’s data in a clean, structured way? The Model Context Protocol (MCP) is an open standard that creates a bridge between large language models and external tools, APIs, and data sources. Think of it as a universal translator that lets AI agents understand … Continue reading “Connecting AI Agents to Microsoft Fabric with GraphQL and the Model Context Protocol (MCP)”

Fabric Workspace Identity: Removing Default Contributor Access for Workspace Identity

A Fabric workspace identity is an automatically managed service principal that can be associated with a Fabric workspace. Fabric workspaces with a workspace identity can securely read or write to firewall-enabled Azure Data Lake Storage Gen2 accounts through trusted workspace access for OneLake shortcuts. Fabric items can use the identity when connecting to resources that support Microsoft … Continue reading “Fabric Workspace Identity: Removing Default Contributor Access for Workspace Identity”

Simplifying Data Ingestion with Copy job – Incremental Copy GA, Lakehouse Upserts, and New Connectors

Copy job has been a go-to tool for simplified data ingestion in Microsoft Fabric, offering a seamless data movement experience from any source to any destination. Whether you need batch or incremental copying, it provides the flexibility to meet diverse data needs while maintaining a simple and intuitive workflow. We continuously refine Copy job based … Continue reading “Simplifying Data Ingestion with Copy job – Incremental Copy GA, Lakehouse Upserts, and New Connectors”