Real-Time Analytics documentation in Microsoft Fabric

Real-Time Analytics is a fully managed big data analytics platform optimized for streaming, time-series data. It contains a dedicated query language and engine with exceptional performance for searching structured, semi-structured, and unstructured data with high performance. Real-Time Analytics is fully integrated with the entire suite of Fabric products, for both data loading and advanced visualization scenarios.

About Real-Time Analytics

Overview

• What is Real-Time Analytics?

Get Started

• Real-Time Analytics Tutorial

Event streams

Overview

• What's Event streams?

How-To Guide

• Create and manage event streams
• Process events using processor editor
• Monitor event streams

Tutorial

• Transform and stream real-time events to Microsoft Fabric Lakehouse

KQL Database

Get Started

• Create a KQL database
• Create an empty table

How-To Guide

• Get data from a blob
• Get data from a blob container
• Get data from Azure Event Hubs
• Get data from OneLake

Integrate with other experiences

Tutorial

• Use a notebook with Kqlmagic to query a KQL database
• Use a notebook with Apache Spark to query a KQL database
• Create a shortcut to access data in OneLake

How-To Guide

• Visualize data in a Power BI report

KQL Queryset

How-To Guide

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

Query data

How-To Guide

• Use sample queries

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