Microsoft Azure - Data Factory

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

Instructor: EDUCBA

Access provided by EDGE Group

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

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

16 assignments

Taught in English

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Build your subject-matter expertise

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

This comprehensive course empowers learners to construct, implement, monitor, and optimize data pipelines using Microsoft Azure Data Factory (ADF). Structured into four progressive modules, the course starts with foundational setup and connectivity, advancing to robust pipeline design, scheduling, debugging, and performance optimization using Azure Data Lake integration.

Learners will configure source and destination datasets, execute copy activities, and deploy end-to-end workflows with precision. Through practical exercises, graded quizzes, and scenario-based tasks, learners will also diagnose failures, analyze pipeline behavior, and evaluate dataset and trigger configurations. By the end of the course, participants will be proficient in building dynamic, scalable, and production-ready data integration solutions using ADF. Designed for data professionals, engineers, and cloud practitioners, this course bridges theory with cloud-based implementation—helping learners transition from foundational concepts to enterprise-grade automation.

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 videos Total 57 minutes

Introduction to Azure Data Factory 7 minutes
Creating Copy Visa 8 minutes
Creating Free Subscription 7 minutes
Creating a Blob 6 minutes
Properties of Blob 6 minutes
Creating Destination 11 minutes
Creating ADF in Microsoft Azure 6 minutes
Create Schema in SQL Azure 5 minutes

4 assignments Total 60 minutes

Getting Started with Azure Data Factory 30 minutes
Introduction and Setup Essentials 10 minutes
Blob Storage Configuration 10 minutes
ADF Basic Setup and SQL Integration 10 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 videos Total 62 minutes

Create Copy Activity in ADF 10 minutes
Create Copy Activity in ADF Continues 9 minutes
ADF Resource Explorer in Microsoft Azure 5 minutes
Creating Author Deploy Environment 8 minutes
Create Pipeline and DataSets in Microsoft Azure 6 minutes
Fix Errors in the Pipeline 5 minutes
Scheduling the data 3 minutes
Setup for ADF Scheduling 7 minutes
Uploading the Files 7 minutes

4 assignments Total 60 minutes

Developing Pipelines in Azure Data Factory 30 minutes
Configuring ADF for Copying Data 10 minutes
Deployment and Dataset Configuration 10 minutes
Scheduling and Execution Preparation 10 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 videos Total 54 minutes

Creating the Pipeline 7 minutes
Monitoring the Pipeline 11 minutes
Understanding the Scheduling 6 minutes
How Pipeline Works 7 minutes
Analyzing the Pipeline 4 minutes
Monitor and Manage Tool 7 minutes
Failed Data Slices 5 minutes
Debugging Issues in a Pipeline 3 minutes
ADF Pipeline Setup 4 minutes

4 assignments Total 60 minutes

Monitoring, Debugging, and Data Lake Integration 30 minutes
Pipeline Execution and Monitoring 10 minutes
Pipeline Analysis and Management 10 minutes
Error Handling and Debugging 10 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.