Microsoft Fabric Data Engineer Training

Master data engineering with MindMajix’s Fabric Data Engineer Training. Gain hands-on expertise in data loading patterns, orchestration, and real-time analytics using Microsoft Fabric. Prepare for the Microsoft Certified: Fabric Data Engineer Associate certification exam (DP-700) and elevate your career with expert-led training.

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Microsoft Fabric Data Engineer Training

Course Features

100% Money back guarantee
Two Real-time Use cases

Real-time Use cases

24/7 Lifetime Support

24/7 Lifetime Support

Certification Assistance

Certification Based Curriculum

Flexible Schedule

Flexible Schedules

One-on-onedoubtclearing

One-on-one doubt clearing

Careerpathguidance

Career path guidance

About Fabric Data Engineer Course

MindMajix’s Fabric Data Engineer training will provide you with the methods and practices to implement data engineering solutions at the enterprise level. You will get hands-on experience in ingesting and transforming data. You will learn to secure, manage, monitor, and optimize data engineering solutions. This Microsoft Fabric training introduces foundational concepts for implementing lakehouses. You will explore the power of Fabric's real-time intelligence in analyzing streaming events.

This training will help you pass the ‘Microsoft Certified: Fabric Data Engineer Associate’ exam.

Pre-Requisites:

  • Basic knowledge of data engineering and management concepts
  • Experience in handling data with SQL, PySpark, or Kusto Query Language (KQL)
  • Familiarity with Power BI and data analytics.

Learning Modes:

  • Live online Instructor-led training –  hours
  • On-demand training with pre-recorded self-paced videos -  hours

Microsoft Fabric Lab Setup:

You will set up a Microsoft Fabric lab environment using the free trial link below. Our trainer will guide you through the entire process.

https://www.microsoft.com/en-us/microsoft-fabric/getting-started

Training Highlights:

  • Hands-on Fabric training: MindMajix’s online Fabric data engineering course features industry-focused labs, real-time projects, and practical examples to enhance your practical experience.
  • Post-training Support: Our job search assistance program supports learners in securing data engineering roles.
  • Learning Resources: You can polish your skills on Microsoft Fabric with MindMajix’s online learning materials, sample resumes, and quizzes.

Target Audience:

  • Anyone looking to start or advance their career in data engineering.
  • Data engineers, architects, analysts, and administrators can take this course.

Objectives:

  • MindMajix’s Fabric Data Engineer certification course is ideal for both beginners and experienced learners who want to become competent data engineers.
  • The well-structured course curriculum covers all the modules, from foundational to advanced, ensuring a smooth learning experience.

Job Opportunities:

  • Industries such as IT services and consulting, software development, finance, healthcare, media, and retail employ Microsoft Fabric data engineers to develop and manage data engineering solutions.
  • Top companies like Capgemini, IBM, UST, Atlassian, TCS, EY, and KPMG actively hire Fabric Data Engineers with competitive salaries.
  • According to Glassdoor, Fabric data engineers can earn an average salary of ₹5+ LPA in India and $136k+ in the USA.
Fabric Data Engineer Training
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Course Coverage

Microsoft Fabric Data Engineer Course Content

You will be exposed to the complete Fabric Data Engineer Trainingcourse details in the below sections.

Topic-wise Content Distribution

Introduction to Microsoft Fabric

  • Overview & Architecture:
    • What is Fabric
    • Core components
    • Ecosystem comparison.
  • Key Features:
    • AI capabilities,
    • OneLake unification,
    • Pricing,
    • Workspace management.
  • Real-world Use Cases:
    • Collaborative workflows,
    • Fabric in action.
  • Hands-on:
    • Activating Fabric trial,
    • Navigating workspace UI.

Designing & Managing Lakehouses

  • Conceptual Foundations:
    • Lakehouse vs data warehouse vs OneLake.
  • Medallion Architecture:
    • Architecture and implementation in Fabric.
  • Operations:
    • Data discovery,
    • Transformation,
    • Querying,
    • Governance best practices.
  • Hands-on:
    • Building a lakehouse,
    • Applying the medallion design,
    • Executing transformations.

Spark-based Data Processing

  • Environment Setup:
    • Configuring Spark in Fabric.
  • Core Operations:
    • DataFrames,
    • Spark SQL,
    • Notebook usage.
  • Visualization:
    • Integrating Spark notebooks.
  • Hands-on:
    • Running Spark transformations and generating visual insights.

Delta Lake Management

  • Introduction & Table Management:
    • Creating,
    • Optimizing,
    • Partitioning Delta tables.
  • Advanced Features:
    • Table optimization,
    • Structured Streaming.
  • Hands-on:
    • Working with delta tables in Spark.

Dataflows & Pipelines

  • Core Concepts:
    • Difference between Dataflows Gen2 and pipelines.
  • Key Tasks:
    • Copy activities,
    • Pipeline templates,
    • Monitoring.
  • Hands-on:
    • Building Dataflows Gen2,
    • Orchestrating pipelines.

Fabric Data Warehouses

  • Warehouse Design:
    • Architecture,
    • Table structures,
    • Star schema.
  • Data Loading:
    • Ingestion via Dataflows Gen2,
    • Transformation using Copilot.
  • Querying & Analysis:
    • SQL querying,
    • Ranking functions,
    • Visual query editor.
  • Hands-on:
    • Warehouse setup,
    • ingestion,
    • Querying tasks.

Real-Time Analytics with EventStreams

  • Fundamentals:
    • Real-time analytics,
    • Eventhouse vs Eventstream.
  • Transformation & Queries:
    • Materialized views,
    • KQL,
    • Stored functions.
  • Dashboards & Automation:
    • Real-time dashboards,
    • Data Activator triggers,
    • Best-practice setups.
  • Hands-on:
    • Eventstream ingestion,
    • Real-time querying,
    • Dashboard building.

Security, Monitoring & Governance

  • Security Fundamentals:
    • Dynamic masking,
    • row/column-level security,
    • Workspace permissions.
  • Monitoring Tools:
    • Fabric Monitor Hub,
    • DMVs,
    • Performance tracking.
  • Governance:
    • Activator,
    • Administrative controls,
    • Data governance strategies.
  • Hands-on:
    • Configuring access,
    • Observing metrics,
    • Securing assets.

Integrating Azure Data Engineering

  • Key Technologies:
    • Azure Databricks,
    • Unity Catalog,
    • Purview.
  • Pipeline Development:
    • Delta Live Tables,
    • ADF components,
    • Data Lake Storage Gen2 vs Blob.
  • Security:
    • Threat protection,
    • Secure data access.
  • Hands-on:
    • Running Spark on Databricks,
    • Building pipelines,
    • Configuring ADLS Gen2.

Azure Integration & Analytics with ADF/Synapse

  • Data Integration:
    • ADF components,
    • Control flows,
    • Data Factory vs SSIS.
  • Synapse Bridge:
    • Spark and pipelines integration.
  • Hands-on:
    • Creating Data Factory pipelines,
    • Loading data into Azure Synapse.

Hands-on Fabric Data Engineer Projects

Our Fabric Data Engineer Training course aims to deliver quality training that covers solid fundamental knowledge on core concepts with a practical approach. Such exposure to the current industry use-cases and scenarios will help learners scale up their skills and perform real-time projects with the best practices.

    logoTraining Options

    Choose your own comfortable learning experience.

    Best Value

    On-Demand Training

    25 hrs of Self-Paced Videos

    • 25 hours of Fabric Data Engineer Training videos
    • Curated and delivered by industry experts
    • 100% practical-oriented classes
    • Includes resources/materials
    • Latest version curriculum with covered
    • Get one year access to the LMS
    • Learn technology at your own pace
    • 24x7 learner assistance
    • Certification guidance provided
    • Post sales support by our community
    self-paced

    Get Pricing

    Preferred

    Live Online (Instructor-Led)

    25 hrs of Remote Classes in Zoom/Google meet

    2026 Batches

    Start - End

    Local Time

    Weekdays

    Apr 07 - Apr 22

    07:00 PM

    Weekend

    Apr 11 - Apr 26

    07:00 PM

    Weekdays

    Apr 14 - Apr 29

    09:00 AM

    Weekend

    Apr 18 - May 03

    09:00 AM

    Customize your schedule here

    + Includes Self-Paced
    • Live demonstration of the industry-ready skills.
    • Virtual instructor-led training (VILT) classes.
    • Real-time projects and certification guidance.
    online

    For Corporates

    Empower your team with new skills to Enhance their performance and productivity.

    Corporate Training

    • Customized course curriculum as per your team's specific needs
    • Training delivery through self-Paced videos, live Instructor-led training through online, on-premise at Mindmajix or your office facility
    • Resources such as slides, demos, exercises, and answer keys included
    • Complete guidance on obtaining certification
    • Complete practical demonstration and discussions on industry use cases
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    How to prepare for a career in Fabric Data Engineer

    Learn, practice & Master Fabric Data Engineer Concepts
    Attend classes & Demonstrate your proficiency in use cases & Lab Assignments
    Enhance Your Professional Profile
    Craft an attractive resume and LinkedIn profile with personalized advice.
    Access Career support
    Leverage dedicated guidance to successfully navigate the Fabric Data Engineer job market
    Path
    Earn a Valued Certificate
    Elevate your resume with a Course Completion Certificate from Mindmajix that stands out!
    Mock Interview
    Experience real-time interview simulations with Mindmajix SMEs
    Qualify for in-demand job titles
    $111,000+ median U.S. salary for Fabric Data Engineer Professionals. Apply for : positions -

    logoOn-Job Support Service

    Online Work Support for your on-job roles.

    jobservice
    @Learner@SME

    Our work-support plans provide precise options as per your project tasks. Whether you are a newbie or an experienced professional seeking assistance in completing project tasks, we are here with the following plans to meet your custom needs:

    • Pay Per Hour
    • Pay Per Week
    • Monthly
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