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.
Microsoft Azure - Data Factory
Microsoft Azure - Data Factory
This course is part of Microsoft Azure: Cloud Solutions Mastery Specialization
Instructor: EDUCBA
Access provided by JECRC University
Gain insight into a topic and learn the fundamentals.
4.6
(15 reviews)
Intermediate level
Recommended experience
8 hours to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
16 assignments
Taught in English
Recently updated!
July 2025
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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
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There are 4 modules in this course
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
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
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
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
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Learner reviews
4.6
15 reviews
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Showing 3 of 15
SS
5
Reviewed on Nov 5, 2025
Well structured, detailed, an excellent for data integration.
TD
5
Reviewed on Nov 5, 2025
A practical, an comprehensive and industry focused training program.
SK
5
Reviewed on Jul 17, 2025
Comprehensive, practical,beginner-friendly course.
