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

Course Outline

This DP-603 Course provides a comprehensive introduction to real-time analytics 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 Analytics 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.
      Course Dates - North America
      Course Dates - Europe
      Attendance Method
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