Lakehouse Streaming Tables in the Real Time hub
Real-Time Intelligence · Public preview · Planned
Description
Lakehouse Streaming Tables bring real-time data processing and analytics to the Fabric Real Time hub, making it easier for data engineers and data scientists to discover, explore, and act on streaming data - all in one central location. With seamless integration to Spark and AI Skills, users can filter, open, and endorse streaming tables, and launch advanced analytics experiences. This feature is designed to boost engagement and productivity by providing instant access to continuously updated data, supporting rapid insights and decision-making for modern data teams.
Change History
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2026-03-18
Feature Description Lakehouse Streaming Tables bring real-time data processing and analytics to the Fabric Real-Time Hubmaking it easier for data engineers and data scientists to discoverexploreand act on streaming data--all in one central location. With seamless integration to Spark and AI Skillsusers can filteropenand endorse streaming tableslaunch advanced analytics experiencesand visualize data in Power BI reports. This feature is designed to boost engagement and productivity by providing instant access to continuously updated datasupporting rapid insights and decision-making for modern data teams. -> Lakehouse Streaming Tables bring real-time data processing and analytics to the Fabric Real Time hubmaking it easier for data engineers and data scientists to discoverexploreand act on streaming data - all in one central location. With seamless integration to Spark and AI Skillsusers can filteropenand endorse streaming tablesand launch advanced analytics experiences. This feature is designed to boost engagement and productivity by providing instant access to continuously updated datasupporting rapid insights and decision-making for modern data teams. -
2026-03-06
Release Date 2026-03-31 -> 2026-06-30 -
2025-11-18
Roadmap Item Added
Workload: Real-Time Intelligence