Real-Time Intelligence Community Blog

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!

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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.

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Join a Microsoft Fabric Reddit Ask me Anything on March 5th at 10 AM PT with the Real-Time Intelligence team! 

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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!

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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.

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Real-time dashboards are perfect for tracking what's happening and allowing users to react when action is needed.

But how can you ensure that users know when it's time to act? One approach is to send alerts, such as emails or Teams messages (using Activator). Another effective method is to highlight critical data points directly on the dashboard, and this is where conditional formatting comes into play. Conditional formatting helps emphasize the most important information, allowing users to identify and respond to key issues quickly.

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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.

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Much of the conversation around Microsoft Fabric rightly focuses on gaining insights from our data. But what if the insights we reveal demand immediate action to mitigate a problem in real-time or, better yet, prevent a problem from occurring in the first place? Data Activator allows us to do just that within Real-Time Intelligence in Microsoft Fabric. If you're reading this and saying "what's Data Activator?", you've come to the right place.

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Real-Time Intelligence might mean different things to different people but I try to help explain what it means in the context of Microsoft Fabric.

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You might be familiar with setting an alert on a visual in a Power BI Dashboard, but Data Activator can provide more functionality and add value to your alerts!

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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.

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Collecting data using Microsoft Forms is a common practice, and analyzing the responses in real time is incredibly valuable. In the past, many users relied on the Streaming Semantic Model (Dataset) in Power BI to capture and visualize live data. However, with the recent retirement of this feature, it's time to use Microsoft Fabric Real-Time Intelligence as the new solution for live reporting.

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I work with a lot of clients that are creating analytic systems. They all collect large numbers of data points and analyze them. Most do a fairly good job with it.

 

Bue one area that I see very few handling well, is the data that is missing, rather than just the data that is present. There's a huge difference between data that arrived, and is odd, and data that just didn't arrive at all.

 

One tool that's great at working with streams of data is the Real Time Intelligence workload for Microsoft Fabric. And it's also great at working with data that is missing from those streams.

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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.

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