Real-Time Analytics documentation in Microsoft Fabric

Gain quick access to data insights with just seconds of provisioning, automatic data streaming, indexing, and partitioning for any data source or format, and on-demand query generation and visualizations. Real-Time Analytics lets you focus on your analytics solutions by scaling up seamlessly with the service as your data and query needs grow.

About Real-Time Analytics

Overview

• What is Real-Time Analytics?

Get Started

• Real-Time Analytics Tutorial

Get data

Overview

• What's Event streams?

How-To Guide

• Create and manage event streams
• Process events using processor editor
• Monitor event streams
• Transform and stream real-time events to Microsoft Fabric Lakehouse

How-To Guide

• Get data from OneLake
• Get data from Azure storage
• Get data from Eventstream
• Get data from Amazon S3

Store data

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

How-To Guide

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

Visualize data

How-To Guide

• Visualize data in a Power BI report

Use Kusto Query Language (KQL)

Overview

• Kusto Query Language (KQL) overview

Training

• Training module: Write your first query with Kusto Query Language
• Training module: Gain insights from your data by using Kusto Query Language
• Training module: Multi-table queries using Kusto Query Language