About Lesson
Get started with Real-Time Analytics in Microsoft Fabric
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
Use real time eventstreams in Microsoft Fabric
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
Query data in a KQL database in Microsoft Fabric
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.