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

  • Course Code M-DP603
  • Duration 1 day

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Course Delivery

This course is available in the following formats:

  • Company Event

    Event at company

  • Public Classroom

    Traditional Classroom Learning

  • Virtual Learning

    Learning that is virtual

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Course Overview

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In this learning path, the student is exposed to various ways to:

Source streaming data sources into Microsoft Fabric.

Use real time Eventstream in Microsoft Fabric.

Query data in a KQL database in Microsoft Fabric.

Create real time dashboards in Microsoft Fabric.

Company Events

These events can be delivered exclusively for your company at our locations or yours, specifically for your delegates and your needs. The Company Events can be tailored or standard course deliveries.

Course Schedule

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Target Audience

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Students wishing to Implement Real-Time Analytics with Microsoft Fabric

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Course Objectives

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Students will learn to,

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

 

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Course Content

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Module 1: Get started with Real-Time Analytics in Microsoft Fabric

  • Describe Real-Time Analytics in Microsoft Fabric
  • Create Real-Time Analytics databases and tables
  • Use KQL to query tables

Module 2: Use real time eventstreams in Microsoft Fabric

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

Module 3: Query data in a KQL database in Microsoft Fabric

  • 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.

 

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Course Prerequisites

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The student should be able to:

  • Log in to the Azure portal.
  • Explain and create resource groups.
  • Understand the concept of streaming data.

 

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