When monitoring real-time data, you want updates as soon as new data comes in, but without unnecessary refreshes. This is where page refreshes based on change detection in Power BI become useful.

For example, if new data arrives every five minutes, refreshing a report ten times per minute is inefficient. Power BI’s change detection refresh option updates the page only when a specific field changes!

Migrating to Microsoft Fabric Real-Time Intelligence (RTI) from Azure Data Explorer (ADX) offers several benefits for organizations looking to enhance their data analytics capabilities. This article outlines how to efficiently migrate from ADX to Fabric RTI. Dive into the future of data analytics with Fabric RTI and see how it can transform your business operations.

Discover how to enhance your Azure/Fabric Data Factory pipelines with real-time telemetry using Microsoft Fabric RTI. Learn to seamlessly send diagnostic data to Eventhouses, enabling you to create dynamic dashboards and alerts for better performance monitoring and error troubleshooting. This guide walks you through setting up a flexible, schema-agnostic table and integrating it with your pipelines for instant insights. Transform your data analytics with ease and efficiency—explore the full potential of Fabric Real Time Intelligence today!

So, you’ve started exploring real-time intelligence in Fabric and maybe even followed the Microsoft tutorial to implement a real-time solution. Now, you’re looking to analyze and visualize that data, and that’s where KQL (Kusto Query Language) comes in.

When I started, I struggled a bit, so I thought it would be a good idea to provide some basic queries (and explain what they do) for people who want to get started but are unfamiliar with querying data.

Discover how to effortlessly recreate your ADX dashboards as Real-Time Dashboards in Microsoft Fabric—without moving your data. Connect directly to your ADX clusters, leverage powerful Fabric features like permissions management and real-time collaboration, and unlock new possibilities for data-driven insights.

The Real-Time Intelligence service in Fabric can help you deploy an Event Hub directly with a few clicks with your mouse.

The Eventstream processor is your go-to service to get this done - read this post to learn how to deploy it and how to use it.

With the Fabric Real-Time Intelligence service we have the KQL data processing engine. This engine comes with an extensive set of security features for reading and manipulating data.

This blogpost gives you an overview of the different features.