Real-Time Intelligence documentation in Microsoft 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

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
• Explore data in Real-Time Dashboard tiles
• Customize Real-Time Dashboard visuals

How-To Guide

• Visualize data in a Power BI report

Get data

Overview

• What's Event streams?

How-To Guide

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

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 access data in OneLake

Analyze and model 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

Respond to data

Overview

• What is Data Activator?

How-To Guide

• Get data from Real-Time Dashboard
• Get data from Power BI
• Get data from Eventstreams