Implement Real-Time Intelligence with Microsoft Fabric (DP-603)

This DP-603 Course provides a comprehensive introduction to real-time intelligence within Microsoft Fabric. Participants will learn how to source streaming data, utilize Eventstream for real-time data processing, query data using KQL, and create dynamic real-time dashboards.

Implement Real-Time Intelligence with Microsoft Fabric (DP-603) Benefits

• In this course, you will learn how to:

  • Source various streaming data into Microsoft Fabric.
  • Utilize Microsoft Fabric's Eventstream for real-time data analysis.
  • Query databases within Microsoft Fabric using KQL.
  • Create and customize real-time dashboards for analytics and visualization.

• Prerequisites

  • Basic familiarity with the Azure portal and resource groups.
  • Understanding of streaming data concepts.
  • No specific exam preparation provided in this course.

DP-603 Course Outline

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.