Get Started with Real-Time Intelligence in Microsoft Fabric

Get Started with Real-Time Intelligence in Microsoft Fabric

Source

• Provider: Microsoft
• Platform: Microsoft Learn
• Source title: Get started with Real-Time Intelligence in Microsoft Fabric
• Source URL: https://learn.microsoft.com/en-us/training/modules/get-started-real-time-intelligence/
• Content type: Self-Paced Training Module
• Target Exam: Exam DP-700
• Date captured: 2026-08-15
• Last reviewed: 2026-08-15

Summary

This module introduces Real-Time Intelligence in Microsoft Fabric, explaining the architecture of Eventhouses, KQL Databases, Real-Time Dashboards, and Eventstreams for sub-second streaming ingestion and analytics.

Core Architectural Concepts

1. The Real-Time Hub & Eventhouse

• Eventhouse: Scalable workspace engine tailored for handling high-volume, continuous streams of unstructured and semi-structured time-series/log data with sub-second indexing.
• KQL Database: The relational storage container inside an Eventhouse powered by the Azure Data Explorer / Kusto engine.

2. High-Yield KQL Query Operations

// Filter and aggregate telematics stream
VehicleTelemetry
| where Timestamp >= ago(1h) and Speed > 80
| summarize AvgSpeed = avg(Speed), MaxTemp = max(EngineTemperature) by VehicleId, bin(Timestamp, 5m)
| render timechart

3. Data Ingestion Pathways

1. Streaming Ingestion: Near-instantaneous ingestion with continuous indexing (ideal for alerts and live dashboarding).
2. Batch / Queued Ingestion: High-throughput file-based ingestion optimized for bulk log uploads.

Related

• Ingest Real-Time Data with Eventstreams in Microsoft Fabric
• Query and Transform Data in KQL Databases
• Exam DP-700
• _indexes/modules-index.md