Microsoft Fabric’s data mesh architecture supports organizing data into domains, enabling data consumers to filter and discover content from the domains most relevant to them. It also enables federated governance, meaning that some governance functions that would otherwise be controlled centrally, at the tenant level, can instead be delegated to domain-level control. This enables each business … Continue reading “Domains in Fabric – new enhancements”
Copy Job simplifies your data ingestion with non-compromising experience from any source to any destination. Whether you need batch or incremental copying, Copy Job provides the flexibility to meet your data needs while keeping things simple and intuitive. Check out the details in Announcing Public Preview: Copy Job in Microsoft Fabric | Microsoft Fabric Blog … Continue reading “Simplifying Data Ingestion with Copy Job: Upsert to Azure SQL Database & Overwrite to Fabric Lakehouse”
Looking to unlock analytics on your SQL Server and seamlessly integrate it with Power BI for rich reporting and insights? Discover strategies in this post for migrating your SQL database to Microsoft Fabric, a unified platform that brings your data and analytics together effortlessly. Previously, several methods for SQL database integration with Microsoft Fabric have … Continue reading “SQL to Microsoft Fabric Migration: Beginner-Friendly Strategies for a Smooth Transition”
This session is part of the Microsoft Fabric and AI Learning Hackathon which focuses on how you can leverage Copilot in Microsoft Fabric. It will guide you through the various capabilities that Copilot offers for you to use Microsoft Fabric, empowering you to enhance productivity and streamline your workflows. We will dive deep into practical … Continue reading “Microsoft Fabric and AI Learning Hackathon: Copilot in Fabric”
At Fabric, we’re passionate about contributing to the open-source community, particularly in areas that advance the usability and scalability of machine learning tools. One of our recent endeavors has been making substantial contributions back to the FLAML (Fast and Lightweight AutoML) project, a robust library designed to automate the tedious and complex process of machine … Continue reading “Enhancing Open Source: Fabric’s Contributions to FLAML for Scalable AutoML”
