Microsoft Fabric Updates Blog

Copilot for Real-Time Intelligence

We are thrilled to unveil the next evolution in big data exploration of activity and high granularity data: Copilot for Real-Time Intelligence is now in preview! For those who are already fans of KQL or newcomers exploring its potential, Copilot can help you get started, and navigate data with ease.

With Copilot for Real-Time Intelligence, you can now express questions about the data in your own words and Copilot will help you create the KQL queries to answer them.

Getting started is simple. Head over to Real-Time Intelligence and create a KQL Queryset. From there, connect the queryset to your desired destination – whether it’s a KQL database in Fabric or an ADX database in Azure.

Once connected, you’re ready to harness the power of Copilot for Real-Time Intelligence. Ask questions in plain language and watch as Copilot transforms them into KQL queries.

Whether you’re exploring trends, analyzing anomalies, or diving deep into data patterns, Copilot is your trusted companion every step of the way.


Learn more, and help us with your feedback

To find out more about Real-Time Intelligence, read Yitzhak Kesselman’s announcement. As we launch our preview, we’d love to hear what you think and how you’re using the product. The best way to get in touch with us is through our community forum or submit an idea. For detailed how-tos, tutorials and other resources, check out the documentation.

This is part of a series of blog posts that dive into all the capabilities of Real-Time Intelligence. Stay tuned for more!

Relaterade blogginlägg

Copilot for Real-Time Intelligence

maj 20, 2025 från Christopher Schmidt

In the era of big data, efficiently parsing and analyzing JSON data is critical for gaining actionable insights. Leveraging Kusto, a powerful query engine developed by Microsoft, enhances the efficiency of handling JSON data, making it simpler and faster to derive meaningful patterns and trends. Perhaps more importantly, Kusto’s ability to easily parse simple or … Continue reading “Efficient JSON loading to Eventhouse in Fabric Real-Time Intelligence”

maj 20, 2025 från Akshay Dixit

The integration of Azure Storage with Fabric Eventhouse for continuous ingestion represents a significant simplification of data ingestion process from Azure Storage to Eventhouse in Fabric Real-Time Intelligence. It automates extraction and loading from Azure storage and facilitates near real-time updates to Eventhouse KQL DB tables. With this feature, it is now easier for organizations … Continue reading “Continuous Ingestion from Azure Storage to Eventhouse (Preview)”