Easily use Spark Structured Streaming with Fabric Eventstream — Microsoft Fabric Roadmap

Description

Eventstream now integrates with Fabric Spark, letting data engineers and scientists consume and process stream data in notebooks and Spark jobs. This unifies real-time intelligence with Spark in a single end-to-end experience.With this capability, you can:- Discover and consume Eventstream data directly from Fabric notebooks.- Process streaming data with Spark Structured Streaming jobs.- Build real-time analytics and AI applications on live event data.

📰 Related Blog Article

Bringing together Fabric Real-time Intelligence, Notebook and Spark Structured Streaming (Preview)

🔗 community.fabric.microsoft.com

Change History

2026-08-13

Release Date 2026-09-30 -> 2026-12-31
2026-06-29

Name Spark Structured Streaming integration with Eventstream -> Easily use Spark Structured Streaming with Fabric Eventstream
2026-06-29

Feature Description ### Eventstream & Spark IntegrationFabric Eventstream & Spark Integration brinsg together Real-Time Intelligence and Fabric Spark in a single end-to-end experience. It enables data engineers and data scientists to seamlessly discover consume and process Eventstream data using Fabric Notebooks and Spark jobs to build real-time analytics AI applications dashboards and event-driven actions. -> Eventstream now integrates with Fabric Spark letting data engineers and scientists consume and process stream data in notebooks and Spark jobs. This unifies real-time intelligence with Spark in a single end-to-end experience.With this capability you can:- Discover and consume Eventstream data directly from Fabric notebooks.- Process streaming data with Spark Structured Streaming jobs.- Build real-time analytics and AI applications on live event data. Name Easily use Spark Structured Streaming with Fabric Eventstreams (GA) -> Spark Structured Streaming integration with Eventstream
2026-06-22

Feature Description -> ### Eventstream & Spark IntegrationFabric Eventstream & Spark Integration brinsg together Real-Time Intelligence and Fabric Spark in a single end-to-end experience. It enables data engineers and data scientists to seamlessly discover consume and process Eventstream data using Fabric Notebooks and Spark jobs to build real-time analytics AI applications dashboards and event-driven actions.
2026-06-19

Roadmap Item Added