Mastering Azure Data Factory: From Basics to Advanced Level

Learn ETL and Big Data Processing on Azure with Azure Data Factory V2

4.48 (2007 reviews)

Udemy

platform

English

language

IT Certification

What you will learn

Students will learn how to use Azure Data Factory, to compose data storage, movement, and processing services into automated data pipelines.

All the topics related to Azure Data Factory in DP 203 certification are covered in this course.

Real World Use Cases

100% Hands on Practical Lab Sessions

Course Gallery

Mastering Azure Data Factory: From Basics to Advanced Level – Screenshot 1 — Screenshot 1 – Mastering Azure Data Factory: From Basics to Advanced Level

Mastering Azure Data Factory: From Basics to Advanced Level – Screenshot 2 — Screenshot 2 – Mastering Azure Data Factory: From Basics to Advanced Level

Mastering Azure Data Factory: From Basics to Advanced Level – Screenshot 3 — Screenshot 3 – Mastering Azure Data Factory: From Basics to Advanced Level

Mastering Azure Data Factory: From Basics to Advanced Level – Screenshot 4 — Screenshot 4 – Mastering Azure Data Factory: From Basics to Advanced Level

Charts

Students

Price

Rating & Reviews

Enrollment Distribution

Comidoc Review

Our Verdict

This course offers a solid foundation in Azure Data Factory concepts, but would benefit from some updates to content and user interface improvements. Despite this, its engaging use cases make it valuable for those pursuing real-world experience.

What We Liked

Comprehensive course covering all aspects of Azure Data Factory, from basics to advanced level, suitable for both beginners and those looking to deepen their understanding.
High-quality real-world use cases and hands-on practical lab sessions provide students with valuable experience in developing data pipelines.
Instructor is knowledgeable, clear, and concise, offering insights into best practices when working with Azure Data Factory.
Addresses several important topics like optimization techniques, performance improvements, and limitations of the tool

Potential Drawbacks

Course could benefit from more updated content, as some components, like GIT Hub and state folder in running pipelines may have become deprecated.
User interface issues in some learning clips might make it difficult to follow along with instructor's demonstrations.
Assignments format sometimes unclear, and lack of prompt answers makes it challenging for students who require assistance.
Lab setup is not provided, making it more difficult to perform exercises alongside the instructor