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Microsoft Fabric Data Engineering
Data Engineering

Microsoft Fabric Data Engineering

Learn Microsoft Fabric Data Engineering Course through practical training. Build skills in data ingestion, Lakehouse, pipelines, Spark and transformation with Microsoft Fabric.

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Level

Advanced

Duration

8 Weeks

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About Microsoft Fabric Data Engineering

The Microsoft Fabric Data Engineering Course helps learners build practical skills for designing data engineering solutions with Microsoft Fabric. This Microsoft Fabric Data Engineering Training covers data ingestion, transformation, orchestration, Lakehouse, Dataflows Gen2, pipelines, Spark, PySpark, OneLake, data warehouse concepts, monitoring, and optimization. Through Data Engineering with Microsoft Fabric, learners work with data loading patterns, scalable architectures, ETL and ELT workflows, and analytics-ready datasets. The Microsoft Fabric Data Engineering Course Online and Microsoft Fabric Data Engineering Training Online approach supports flexible learning through practical projects. Learners explore skills relevant to Microsoft Fabric Data Engineering Certification preparation, including SQL, PySpark, KQL, orchestration, security, and optimization. The Microsoft Fabric Data Engineer Course and Microsoft Fabric Data Engineer Training focus on building end-to-end data workflows.

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Training Plan

01
About trainer

About trainer

Working professional who is carrying more than 10 years of industry experience.

02
Decks & Updated Content

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03
e-Book

e-Book

E-book provided by TechPratham. All rights reserved.

04
Assignments & MCQs

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05
Video Recording

Video Recording

Daily Session would be recorded and shared to the candidate.

06
Projects

Projects

Live projects will be provided for hands-on practice.

07
Resume Building

Resume Building

Expert-guided resume building with industry-focused content support.

08
Interview Preparation

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

Microsoft Fabric Data Engineering Course Curriculum

Module 1: Microsoft Fabric for Data Engineering

Understand Microsoft Fabric architecture and how its integrated services support modern data engineering workflows.

Introduction to Microsoft Fabric
Role of a Fabric Data Engineer
Fabric workspace and core components
Data engineering lifecycle
Fabric data engineering architecture
Data engineering workloads
OneLake overview

Module 2: Data Ingestion and Loading

Learn how to bring data from different sources into Microsoft Fabric using suitable ingestion patterns.

Data ingestion fundamentals
Batch and incremental loading
Data source connectivity
Data loading patterns
File and database ingestion
Data ingestion best practices
Managing ingestion workflows

Module 3: Dataflows Gen2 and Transformation

Build repeatable data preparation workflows using Dataflows Gen2 and transformation techniques.

Introduction to Dataflows Gen2
Power Query for data transformation
Connecting data sources
Cleaning and standardizing data
Data type management
Transformation workflows
Loading transformed data

Module 4: Fabric Data Pipelines and Orchestration

Develop automated pipelines to coordinate data movement, transformation, and processing activities.

Pipeline fundamentals
Pipeline activities
Pipeline parameters
Scheduling and triggers
Pipeline dependencies
Error handling
Data workflow orchestration

Module 5: Fabric Lakehouse

Explore Lakehouse architecture and build scalable data storage and processing solutions.

Lakehouse architecture
Lakehouse Explorer
Tables and files
Delta tables
Data loading into Lakehouse
Lakehouse data organization
Lakehouse design considerations

Module 6: Apache Spark and PySpark

Use Spark and PySpark for scalable data processing and transformation within Microsoft Fabric.

Apache Spark fundamentals
Fabric Spark environments
Spark notebooks
PySpark DataFrames
Data transformation with PySpark
Spark SQL
Distributed data processing

Module 7: Data Transformation and Data Modeling

Transform raw data into structured, analytics-ready datasets using SQL and distributed processing techniques.

ETL and ELT concepts
Data cleansing
Data standardization
SQL transformations
PySpark transformations
Data modeling concepts
Building analytics-ready datasets

Module 8: OneLake and Data Integration

Understand how OneLake supports centralized data access and integrated data engineering workflows.

OneLake architecture
Data organization in OneLake
Data integration concepts
Shortcuts and data access
Lakehouse integration
Data sharing considerations
Managing enterprise data

Module 9: Fabric Data Warehouse and SQL

Work with Fabric Data Warehouse to build structured analytical data solutions using SQL.

Fabric Data Warehouse
Warehouse architecture
T-SQL fundamentals
Tables and views
Data loading
Querying warehouse data
Warehouse optimization

Module 10: Real-Time Data Engineering

Understand real-time data engineering concepts and build workflows for continuously arriving data.

Real-time data concepts
Event-driven data workflows
Real-Time Intelligence
Eventstream fundamentals
Streaming data ingestion
Real-time transformation
Monitoring real-time workloads

Module 11: Monitoring, Security and Optimization

Learn how to secure, monitor, troubleshoot, and optimize Fabric data engineering solutions.

Workspace security
Data access controls
Monitoring data pipelines
Pipeline troubleshooting
Performance optimization
Spark optimization
Data engineering cost considerations
Reliability and operational best practices

Module 12: End-to-End Data Engineering Project

Apply the complete Microsoft Fabric data engineering workflow to an end-to-end practical project.

Source data analysis
Data ingestion
Pipeline development
Lakehouse implementation
Data transformation
Spark and PySpark processing
Warehouse integration
Data validation
Monitoring and optimization
Project presentation

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Additional Program Highlights

Learning Materials

Comprehensive study materials and resources

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Resume Writing

Professional resume building session

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Interview Preparation

Master your interview skills

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Live Project Demo

Real-world project demonstrations

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Upcoming Batches

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Who Should Take Microsoft Fabric Data Engineering Course?

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Career Opportunities After Learning Microsoft Fabric Data Engineering

Microsoft Fabric Data Engineer

Data Engineer

Cloud Data Engineer

Key Projects

Microsoft Fabric Data Engineering

Walmart

Walmart – Retail Data Pipeline


Scenario: Build a Microsoft Fabric pipeline to ingest retail sales data, transform records in a Lakehouse, and prepare analytics-ready datasets.

Live Work:

  • Ingest sales data into Fabric
  • Transform data using PySpark
  • Build analytics-ready Lakehouse tables
Outcome: Reliable retail data pipeline
WNS

WNS – Customer Data Integration


Scenario: Integrate customer data from multiple sources and create a Microsoft Fabric workflow for transformation, validation, and reporting.

Live Work:

  • Connect multiple customer sources
  • Build transformation workflows
  • Validate integrated customer data
Outcome: Unified customer data platform
Accenture

Accenture – Enterprise Data Warehouse


Scenario: Develop a Fabric Warehouse solution that transforms operational data into structured datasets for enterprise reporting and analytics.

Live Work:

  • Load transformed data into Warehouse
  • Create SQL tables and views
  • Optimize analytical queries
Outcome: Analytics-ready warehouse solution
Toyota

Toyota – Real-Time Data Pipeline


Scenario: Create a real-time Fabric workflow to process continuously arriving manufacturing data for monitoring and operational analysis.

Live Work:

  • Ingest streaming operational data
  • Process events in real time
  • Monitor pipeline performance
Outcome: Real-time data processing workflow
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Commitment

  • Ensuring quality training every day

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Fulfillment

  • Meeting learning goals with confidence

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Accomplishment

  • Students achieving industry-ready expertise

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Alumni Sessions

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What is Microsoft Fabric Data Engineering?

What will I learn in a Microsoft Fabric Data Engineering course?

Who should take Microsoft Fabric Data Engineering training?

Is Microsoft Fabric Data Engineering suitable for beginners?

What is a Microsoft Fabric Lakehouse?

What are Dataflows Gen2 in Microsoft Fabric?

What is Microsoft Fabric?

What is the role of OneLake in Microsoft Fabric?

What is the difference between a Lakehouse and a Warehouse in Fabric?

What are Dataflows Gen2?

What are pipelines in Microsoft Fabric?

How is Spark used in Microsoft Fabric?

Microsoft Fabric Data Engineering Certification

The Microsoft Certified: Fabric Data Engineer Associate is an official Microsoft certification for professionals working with data engineering solutions in Microsoft Fabric. The certification validates skills related to data loading patterns, data architectures, orchestration, data ingestion and transformation, security, monitoring, and optimization.


Certification Details


  • Certification Name: Microsoft Certified: Fabric Data Engineer Associate
  • Certification Provider: Microsoft
  • Certification Level: Intermediate
  • Exam: DP-700
  • Role: Data Engineer
  • Technology: Microsoft Fabric
  • Core Skills: Data ingestion, transformation, orchestration, monitoring, and optimization
  • Key Technologies: SQL, PySpark, and KQL
  • Certification Validity: Subject to Microsoft's current certification renewal policy
  • Exam Price: Varies by country or region


TechPratham Course Completion Certificate

Learners who successfully complete the Microsoft Fabric Data Engineering training requirements receive a TechPratham course completion certificate, subject to the institute's applicable completion criteria.

The TechPratham certificate is separate from the Microsoft Certified: Fabric Data Engineer Associate credential. The official Microsoft certification is awarded by Microsoft only to candidates who meet Microsoft's certification requirements and pass the applicable DP-700 examination.

Industry-Recognized Certification

Certificate
Microsoft Fabric Data Engineering

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