Fabric Real-Time Intelligence documentation

Fabric Real-Time Intelligence is an end-to-end solution for event-driven scenarios, streaming data, and data logs. It enables the extraction of insights, visualization, and action on data in motion by handling data ingestion, transformation, storage, analytics, visualization, tracking, AI, and real-time actions.

About Real-Time Intelligence

Overview

• What is Real-Time Intelligence?

Get started

• Compare with other Azure solutions
• Real-Time Intelligence tutorial

Concept

• Activator
• Eventhouse
• Real-Time hub
• Eventstream

Real-Time hub

Overview

• What is the Real-Time hub?
• Bring your data to Real-Time hub
• Explore streams
• Set alerts on streams

Visualize data

How-To Guide

• Visualize data in a Real-Time dashboard
• Visualize data in a Power BI report
• Visualize spatial data on a map

Get data

Overview

• What's Eventstream?

How-To Guide

• Create and manage eventstreams
• Create eventstreams for discrete events
• Route data streams based on content
• Monitor eventstreams

How-To Guide

• Get data from Real-Time hub
• Get data from OneLake
• Get data from Azure storage
• Get data from Eventstream
• Get data from Amazon S3

Store data

How-To Guide

• Eventhouse overview
• Create an eventhouse
• Manage and monitor an eventhouse

How-To Guide

• Create a KQL database
• Create an empty table
• Manage a KQL database
• Create a shortcut to OneLake

Act on data

Overview

• What is Activator?

How-To Guide

• Get data from Power BI

How-To Guide

• Activate Fabric items
• Alert on a Real-Time dashboard
• Alert on a KQL queryset

Model data

Overview

• What is digital twin builder (preview)?

Get started

• Digital twin builder (preview) tutorial

Concept

• Modeling your data in digital twin builder (preview)
• Mapping data to entities
• Digital twin builder flow (preview)

Analyze and train data

How-To Guide

• Query data in a KQL queryset
• Customize results in the KQL Queryset results grid
• Use example queries

Overview

• Kusto Query Language (KQL) overview

Training

• Training module: Write your first query with Kusto Query Language

How-To Guide

• Use Fabric notebooks with data from a KQL database
• Use a notebook with Apache Spark to query a KQL database
• Use a notebook with Kqlmagic to query a KQL database

Monitor Eventhouse metrics and logs

Overview

• Eventhouse monitoring

Reference

• Metrics
• Command logs
• Data operation logs
• Ingestion results logs
• Query logs

Build and use AI agents

Overview

• Real-Time Intelligence operations agents
• Real-Time Intelligence Model Context Protocol (MCP) servers

How-To Guide

• Get started with operations agents
• Implement the local Real-Time Intelligence MCP server
• Use a remote MCP server to interact with Eventhouse
• Use a remote MCP server to interact with Activator

Copilot in Real-Time Intelligence

Overview

• Copilot in Real-Time Intelligence overview

How-To Guide

• Use Copilot to write KQL queries
• Use Copilot to generate a Real-Time dashboard
• Explore Real-Time dashboard data with Copilot

Reference architectures

Reference

• Automotive and mobility
• Energy and resources
• Industrials and manufacturing
• Retail and consumer goods
• Healthcare and life sciences
• Financial services
• Telecommunications and media