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Microsoft Big Data Course

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Overview

In this workshop, 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.
. Explore more Microsoft training here

Audience

IT professionals, system administrators, developers, analysts, architects and technical specialists responsible for implementing or supporting the technology covered in this course.

Skills Gained

By completing the Implementing Real Time Intelligence with Microsoft Fabric - Applied Skills Workshop MDP603 course participants will gain practical knowledge, configuration skills, implementation techniques and best practice understanding relevant to real enterprise environments.

Prerequisites

The student should be able to:

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

Outline

Module 1: 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.

  • Introduction
  • What is Synapse Real-Time Analytics?
  • Understand KQL database and tables
  • Write queries with KQL
  • Exercise: Explore Synapse Real-Time Analytics in Fabric
  • Knowledge check
  • Summary

Module 2: Use real time eventstreams in Microsoft Fabric

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

  • Introduction
  • Main components of Eventstream
  • Setting up Eventstream
  • Routing eventstream data
  • Exercise - Load data into a KQL database using Microsoft Fabric Eventstream
  • Knowledge check
  • Summary

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

This tutorial provides a brief introduction to KQL (Kusto Query Language) queries using Querysets and the major differences between KQL and T-SQL when using Querysets.

  • Introduction
  • Get started with KQL queries
  • KQL best practices
  • Advanced features
  • Exercise - query a KQL database in Microsoft Fabric
  • Knowledge check
  • Summary
. Explore more Microsoft training here

Certification

Please note: Your applied skills assessment practical lab can be sat at any time of your choosing directly via the MSLearn website here.

Is Implementing Real Time Intelligence with Microsoft Fabric - Applied Skills Workshop MDP603 right for me?

This course is for learners who want structured, expert-led training in Microsoft technology with practical workplace outcomes.

What will I learn on Implementing Real Time Intelligence with Microsoft Fabric - Applied Skills Workshop MDP603?

You will build practical Microsoft technology skills, understand key concepts and apply the course outcomes in real workplace scenarios.

Does Implementing Real Time Intelligence with Microsoft Fabric - Applied Skills Workshop MDP603 include exam preparation?

Exam availability depends on the selected delivery option; check the course details before booking.

What should I do after Implementing Real Time Intelligence with Microsoft Fabric - Applied Skills Workshop MDP603?

Compare related CourseMonster courses and follow-on pathways to choose the best next step for your role or team.

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Thinking about Onsite?

If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. Its a cost effective option. One on one training can be delivered too, at reasonable rates.

Submit an enquiry from any page on this site and let us know you are interested in the requirements box, or simply mention it when we contact you.

All $ prices are in USD unless it’s a NZ or AU date

SPVC = Self Paced Virtual Class

LVC = Live Virtual Class

Please Note: All courses are availaible as Live Virtual Classes

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