Analysis of real-time data streams is a critical capability for any modern data analytics solution. You can use the Real-Time Analytics 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 Analytics in Microsoft Fabric
• Create Real-Time Analytics databases and tables
• Use KQL to query tables

This module is an introduction to the Microsoft Fabric Eventstream within Real-Time Analytics (RTA)

Learning objectives

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

This module 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

• 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.