Handling Real Time data in Fabric Eventhouse
Details
Event Details:
- Date: 19 September
- Time: 10:00 AM IST
- Speaker: Naveen Nagar | LinkedIn Profile
About the Event: In today's data-driven world, organizations increasingly need to make sense of high-volume, fast-moving data - sensor telemetry, clickstreams, transactions, and logs - before the opportunity to act on it passes. Join us for this technical meetup as we explore Fabric Eventhouse, Microsoft Fabric's purpose-built engine for real-time analytics. This session will move beyond traditional batch pipelines to demonstrate a modern, low-latency data architecture where streaming data is captured, indexed, and made queryable within seconds. We will walk through a complete real-time data flow - from a live streaming source, into Eventhouse, and out to every consuming engine in Fabric via OneLake - without data duplication or performance trade-offs.
What we will cover:
- Architecture: An end-to-end walkthrough of a real-time pipeline built on Fabric Eventstream, Eventhouse, and OneLake.
- Eventstream & Ingestion: How Eventstream captures, transforms, and routes streaming events from sources such as Azure Event Hub, IoT Hub, and CDC connectors into Eventhouse.
- Eventhouse & KQL Database: How KQL databases automatically index and time-partition data on arrival, and how update policies and materialized views enrich and aggregate data as it lands.
- OneLake Availability: How a single copy of streaming data becomes instantly available to Power BI, Warehouses, Notebooks, and Lakehouses through OneLake, eliminating the need for separate ETL copies.
- Live Demo: A practical, live walkthrough showing data flow from a streaming source, through Eventstream, into Eventhouse, out to OneLake, and into a live Power BI report in near real-time.
This session is designed for:
- Data Engineers & Architects working with streaming data
- Power BI Developers & Fabric Users
- Analytics teams building real-time or near-real-time dashboards
- Anyone evaluating Microsoft Fabric's Real-Time Intelligence capabilities
