Microsoft Fabric Updates Blog

Give your AI agent the keys to OneLake: OneLake MCP (Generally Available)

Have you ever tried to understand what’s stored in your Fabric items? Would you even know where to begin? I had 92,000 UK property transactions sitting in an open mirrored database. Rather than spending hours sorting through documentation, I just asked my AI agent: “Document what’s in the House Price Open Mirror in my UK … Continue reading “Give your AI agent the keys to OneLake: OneLake MCP (Generally Available)”

Bring your local files to OneLake with OneLake file explorer (Generally Available)

Adopted by thousands of active users, OneLake File Explorer enables developers, data scientists, and business users to move data from local files into OneLake quickly—without changing how they work. From local files to cloud analytics—without breaking your flow Imagine this scenario: You’re a data engineer working with files on your local machine—CSV extracts, Excel files … Continue reading “Bring your local files to OneLake with OneLake file explorer (Generally Available)”

How Stibo Systems’ MDM powers trusted data for analytics and AI in Microsoft Fabric (Preview)

The preview of the Stibo Systems Master Data Management (MDM) workload on Microsoft Fabric which integrates enterprise customers’ master data and ingests it directly into Fabric OneLake through their DaaS (Data as a service) feature to unlock analytics and AI use-cases for them is now available. 

Unlocking financial insights with Capital Markets DataHub workload—A partner-led innovation in Microsoft Fabric (Preview)

We are releasing the preview of a domain‑native data solution built as a workload in Fabric to power analytics and AI-enabled use-cases for capital markets and hedge fund customers in the finance industry. Financial institutions are moving fast to modernize their analytics stack and accelerate AI adoption, however in capital markets, data complexity remains the single biggest blocker to achieving that goal.

Industrial Analytics delivered at-scale: Powered by Fabric Real-Time Intelligence and Fusion Data Hub

Industrial organizations generate a continuous stream of operational signals—temperature, pressure, flow, vibration, energy, and more. Much of that data is captured in plant historians, systems built to collect and store sensor and equipment data over long periods, often driven by compliance needs and operational reporting.