Fabric Real-Time Intelligence introduces a new way to interact with data: seeing what’s happening near real-time and taking action while it still matters. For business users, this means moving beyond static dashboards toward dashboards that support instant decisions.
Getting started can feel a little intimidating, especially if you're like me and lean more toward the business and front-end side of things. The good news is, you don’t need to be a developer or a data engineer to begin.
Getting started
The first question when you learn something new is probably where to begin. Fabric Real-Time Intelligence has several components and terms that might be new to you, like eventhouses, KQL databases, eventstreams, and it can feel like a lot at first.
Two resources that I used when I got started were:
- Kusto Detective Challenge: a free online game where you apply KQL query language through short, detective-style cases. It’s an engaging way to understand how queries work in real time without extensive documentation or setup. By now, there are several scenarios you can play. You can find it [here].
- Fabric Real-Time Intelligence tutorial: Microsoft’s official step-by-step guide that walks through setting up an eventhouse, streaming data, and building a dashboard with demo data. It’s concise, practical, and gives a complete end-to-end view in just a few steps. You can find it [here].
The last one is especially handy when you have no prior knowledge and want a general overview of what is happening where and when!
Where to find data?
When I started with Rel-Time Intelligence, I was a little worried that I couldn't try it because I didn't have data to use. And to be fair, not everyone has a live data stream ready to connect to, or access to IoT or telemetry data. Luckily, Microsoft offers three demo datasets, bicycles, stocks, and taxis, that are great for experimenting. They provide a continuous stream of data, so you can focus on dashboard behavior and visualization rather than on setting up and validating the data.
Focus your learning
When learning something new, it’s tempting to try to be the expert in everything and learn everything at once. But with Real-Time Intelligence, there are so many focus areas that it makes much more sense to first focus on the one most important for you.
For example, as a report creator, I was highly interested in the dashboard design and how to create alerts. So I followed the tutorial up to that point and then really got into the real-time dashboards. You can always expand the learning to other areas, but often being able to describe what is going on and understanding the processes is enough for a business user.
Key takeaways
- Start small: it does not make sense to learn everything at once
- Look at resources like the tutorial or the Kusto Detective Challenge to learn in a structured or gamified way.
- Make use of the available demo datasets instead of searching forever for your own data.
On my website and YouTube channel I provide tutorials to get started with real-time intelligence. Feel free to have a look!
Most Valuable Professional
