Analysis of real-time data streams is a critical capability for any modern data analytics solution. You can use the Real-Time Intelligence capabilities of Microsoft Fabric to ingest, query, and process streams of data.

Learning objectives

In this module, you’ll learn how to:

• Describe Real-Time Intelligence in Microsoft Fabric.
• Create eventhouse databases and tables using KQL database.
• Describe Real-Time hub in Microsoft Fabric.
• Use KQL to query tables and create querysets.

This module is an introduction to the Microsoft Fabric Eventstream within Real-Time Intelligence (RTI).

Learning objectives

After completing this module, you’ll be able to:

• Establish source and destinations in Eventstream.
• View the data in-flight in eventstream items.
• Capture, transform, and route data using Eventstream.

This tutorial provides a brief introduction to KQL (Kusto Query Language) queries using Querysets and the major differences between KQL and T-SQL when using Querysets.

Learning objectives

After completing this module, you’ll be able to:

• Use basic syntax and of Kusto Query Language (KQL).
• Understand the basics of the Queryset canvas.
• Describe how to execute T-SQL queries in the Queryset canvas.
• Describe how to convert T-SQL queries into KQL queries.

Use Data Activator in Microsoft Fabric to easily monitor and take action on your data.

Learning objectives

After completing this module, you’ll be able to:

• Understand Data Activator.
• Understand triggers, conditions, and actions in Data Activator.
• Get data from Power BI Reports and EventStreams with Data Activator.
• Assign data and create triggers in Data Activator.
• Interact with Real-Time Intelligence.