Microsoft Azure - Data Factory

This course is part of Microsoft Azure: Cloud Solutions Mastery Specialization

Instructor: EDUCBA

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4 modules

Gain insight into a topic and learn the fundamentals.

17 reviews

Intermediate level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

17 reviews

Intermediate level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Construct Azure Data Factory pipelines by configuring source and destination datasets and implementing copy activities.
Apply pipeline scheduling, triggers, and deployment techniques to automate and manage data integration workflows.
Analyze pipeline execution, monitor performance, and diagnose failures using Azure Data Factory monitoring tools.
Design scalable pipelines by integrating Azure Data Lake, configuring dynamic datasets, and validating pipeline inputs.

Skills you'll gain

Performance Analysis

Details to know

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Assessments

16 assignments

Taught in English

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This course is part of the Microsoft Azure: Cloud Solutions Mastery Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

Master the process of designing, building, monitoring, and optimizing data pipelines with Microsoft Azure Data Factory (ADF) in this hands-on course. Through four progressive modules, you'll develop practical skills in configuring Azure Data Factory, connecting source and destination datasets, creating copy activities, and deploying end-to-end data integration workflows.

You'll learn how to build and schedule pipelines, configure datasets and triggers, monitor pipeline execution, analyze performance, and troubleshoot failures using Azure Data Factory's monitoring and diagnostic capabilities. The course also explores Azure Data Lake integration, dynamic datasets, pipeline parameterization, and input validation to help you create scalable and reliable data integration solutions. Designed for data professionals, data engineers, and cloud practitioners, this course combines foundational concepts with practical implementation. Interactive exercises, scenario-based activities, and graded assessments reinforce each stage of the learning process, enabling you to apply Azure Data Factory features with confidence. By the end of the course, you'll be able to construct production-ready data pipelines, automate workflow execution, diagnose pipeline issues, and optimize data integration processes using Azure Data Factory. Whether you're building your first ADF pipeline or strengthening your cloud data integration skills, this course provides a structured, hands-on path to mastering Azure Data Factory.

This module introduces learners to the foundational concepts of Azure Data Factory, including the interface, environment setup, and essential components such as copy operations, blob storage, and dataset creation. It prepares learners to begin working with ADF by configuring source and destination connections.

What's included

8 videos4 assignments

8 videosTotal 57 minutes

Introduction to Azure Data Factory7 minutes
Creating Copy Visa8 minutes
Creating Free Subscription7 minutes
Creating a Blob6 minutes
Properties of Blob6 minutes
Creating Destination11 minutes
Creating ADF in Microsoft Azure 6 minutes
Create Schema in SQL Azure5 minutes

4 assignmentsTotal 60 minutes

Introduction and Setup Essentials10 minutes
Blob Storage Configuration10 minutes
ADF Basic Setup and SQL Integration10 minutes
Getting Started with Azure Data Factory30 minutes

This module guides learners through the process of building, debugging, and scheduling pipelines within Azure Data Factory. It explores copy activities, the authoring environment, and deploying pipelines using different scheduling strategies.

What's included

9 videos4 assignments

9 videosTotal 62 minutes

Create Copy Activity in ADF10 minutes
Create Copy Activity in ADF Continues 9 minutes
ADF Resource Explorer in Microsoft Azure 5 minutes
Creating Author Deploy Environment8 minutes
Create Pipeline and DataSets in Microsoft Azure 6 minutes
Fix Errors in the Pipeline5 minutes
Scheduling the data3 minutes
Setup for ADF Scheduling7 minutes
Uploading the Files7 minutes

4 assignmentsTotal 60 minutes

Configuring ADF for Copying Data10 minutes
Deployment and Dataset Configuration10 minutes
Scheduling and Execution Preparation10 minutes
Developing Pipelines in Azure Data Factory30 minutes

This module focuses on monitoring pipeline execution, identifying failed runs, debugging issues, and interpreting pipeline behavior. It provides learners with skills to ensure the reliability and accuracy of data processing workflows.

What's included

9 videos4 assignments

9 videosTotal 54 minutes

Creating the Pipeline7 minutes
Monitoring the Pipeline11 minutes
Understanding the Scheduling6 minutes
How Pipeline Works7 minutes
Analyzing the Pipeline4 minutes
Monitor and Manage Tool7 minutes
Failed Data Slices5 minutes
Debugging Issues in a Pipeline3 minutes
ADF Pipeline Setup4 minutes

4 assignmentsTotal 60 minutes

Pipeline Execution and Monitoring10 minutes
Pipeline Analysis and Management10 minutes
Error Handling and Debugging10 minutes
Monitoring, Debugging, and Data Lake Integration30 minutes

This module covers advanced integration techniques using Azure Data Lake, dynamic datasets, and pipeline parameterization. It emphasizes optimization, dataset configuration, and input validation for complex workflows.

What's included

8 videos4 assignments

8 videosTotal 50 minutes

Azure Data Lake Store3 minutes
Data Lake Analytics3 minutes
Brief on the Dataset Used9 minutes
Azure Data Lake Pipeline7 minutes
Creating Data Sets9 minutes
Creating Data Sets Continues7 minutes
Creating Pipelines9 minutes
Analyzing Missing Inputs4 minutes

4 assignmentsTotal 60 minutes

Working with Azure Data Lake10 minutes
Advanced Pipelines and Dataset Handling10 minutes
Pipeline Creation and Input Analysis10 minutes
Advanced Data Integration and Optimization30 minutes

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Instructor

Instructor ratings

(14 ratings)

EDUCBA

1,708 Courses355,398 learners

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EDUCBA

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Reviewed on Nov 5, 2025

Well structured, detailed, an excellent for data integration.

Reviewed on Jul 17, 2025

Comprehensive, practical,beginner-friendly course.

Reviewed on Oct 22, 2025

A comprehensive course explaining azure data factory concept and real world implementation effectively

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