What is IQ (preview)? - Microsoft Fabric
Operations Agent - Microsoft Fabric
Advancing Data Integration: Innovation in Data Factory in MS Fabric at Ignite 2025 | Microsoft Fabric Blog | Microsoft Fabric
What’s new in OneLake and the Fabric platform: more sources, security, and capacity tooling | Microsoft Fabric Blog | Microsoft Fabric
Power BI November 2025 Feature Summary
482 - Microsoft Ignite & November Recap
Creator Improvements in the Data Agent | Microsoft Fabric Blog | Microsoft Fabric
Fabric October 2025Feature Summary | Microsoft Fabric Blog | Microsoft Fabric
Simplifying Data Ingestion with Copy job – More File Formats with Enhancements | Microsoft Fabric Blog | Microsoft Fabric
OneLake APIs: Bring your apps and build new ones with familiar Blob and ADLS APIs | Microsoft Fabric Blog | Microsoft Fabric
SSMS 22 Meets Fabric Data Warehouse: Evolving the Developer Experiences | Microsoft Fabric Blog | Microsoft Fabric
Capacity usage enabled date for Test capability in User Data Functions | Microsoft Fabric Blog | Microsoft Fabric
Simplifying Data Ingestion with Copy job – Copy data across tenants using Copy job in Fabric Data Factory  | Microsoft Fabric Blog | Microsoft Fabric
Announcing a new Fabric REST API for connection binding of semantic models
Fabric Data Agent now supports CI/CD, ALM Flow, and Git Integration | Microsoft Fabric Blog | Microsoft Fabric
Resolving Write Conflicts in Microsoft Fabric Data Warehouse | Microsoft Fabric Blog | Microsoft Fabric
(13) The Real Time Dispatch Edition #002 - Understanding Action Systems in Event Driven Architectures | LinkedIn
From 'Dataslows' to Dataflows: The Gen2 Performance Revolution in Microsoft Fabric - Data Mozart
(7) No more measure totals shenanigans | LinkedIn
Empowering our customers to shape the future of data connectivity in Power BI and Microsoft Fabric
Accelerate Data Transformation with AI Functions in Data Wrangler (Preview) | Microsoft Fabric Blog | Microsoft Fabric
Fabric CLI: open source, AI-ready, and more powerful | Microsoft Fabric Blog | Microsoft Fabric
Statsig Experimentation Analytics (Preview) | Microsoft Fabric Blog | Microsoft Fabric
Introducing Fabric MCP (Preview) | Microsoft Fabric Blog | Microsoft Fabric
Create a Fabric data agent (preview) - Microsoft Fabric | Microsoft Learn
When you provide the AI with sample query/question pairs, it references these examples when it answers future questions. Matching new queries to the most relevant examples helps the AI incorporate business-specific logic, and respond effectively to commonly asked questions. This functionality enables fine-tuning for individual data sources, and ensures generation of more accurate SQL or KQL queries.
Power BI semantic model data don't support adding sample query/question pairs at this time. However, for supported data sources such as lakehouse, warehouse, and KQL databases, providing more examples can significantly improve the AI's ability to generate precise queries when its default performance needs adjustment.
By tailoring these instructions and defining terms, you enhance the AI's ability to deliver precise and relevant insights, in full alignment with your data strategy and business requirements.
Fabric September 2025 Feature Summary | Microsoft Fabric Blog | Microsoft Fabric
Welcome to Fabric Data Warehouse  | Microsoft Fabric Blog | Microsoft Fabric
OneLake File Explorer: Smarter, More Reliable, and Seamlessly Integrated | Microsoft Fabric Blog | Microsoft Fabric
Now Available – A Guide: Migrating to Fabric Data Warehouse | Microsoft Fabric Blog | Microsoft Fabric
Licensing Calculator | Data Witches