Instructor

MF - 3001 : Implement Real-Time Analytics with Microsoft Fabric

Curriculum

Learn to implement real-time analytics using Microsoft Fabric in MF-3001. Gain hands-on skills to process, analyze, and visualize data instantly.

Ratings

( 4.4 Ratings )

Live Online Classes starting on 01 January, 1970

COURSE OVERVIEW
Implement Real-Time Analytics with Microsoft Fabric

The MF - 3001 : Implement Real-Time Analytics with Microsoft Fabric course will teach you to design, implement, and analyze real-time solutions using event streams, KQL queries, dashboards, and Data Activator alerts for instant, actionable insights. This  course is designed to provide data professionals with the practical skills needed for real-time analytics on Microsoft Fabric. Led by experts, you will learn to manage, process, and visualize live streaming data using Fabric’s Real-Time Intelligence capabilities, including eventstream, eventhouse, and interactive dashboards. Through real-world business cases, guided labs, and project scenarios, gain essential end-to-end experience building scalable, low-latency solutions. Master the ability to leverage real-time data for applications such as IoT signal tracing, usage monitoring, and enabling instant decision-making.

 

Audience Profile:

The primary audience for this course includes:

  • Data Analysts

  • Data Engineers

  • Microsoft Fabric users

 

Prerequisites:

Students should be able to:

  • Log in to the Azure portal.

  • Explain and create resource groups.

  • Understand the concept of streaming data.

 

Course Outline:

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

  • Understand the fundamentals of Real-Time Analytics in Microsoft Fabric.

  • Create Real-Time Analytics databases and tables.

  • Use Kusto Query Language (KQL) to query tables.

Module 2: Use Real-Time Eventstreams in Microsoft Fabric

  • Set up sources and destinations in Eventstream.

  • View real-time, in-flight data in eventstream items.

  • Capture, transform, and route data using Eventstream.

Module 3: Query Data in a KQL Database in Microsoft Fabric

  • Learn the basic syntax of Kusto Query Language (KQL).

  • Explore the Queryset canvas and its features.

  • Execute T-SQL queries in the Queryset canvas.

  • Convert T-SQL queries into KQL queries for optimized querying.

4.4 Ratings
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Industry FocusedPractical and career-oriented learning
Expert GuidanceLearn with structured expert support
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Career Ready SkillsFocus on practical knowledge

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