[2026] Mastering Azure Data Factory :From Basics to Advanced

Name: [2026] Mastering Azure Data Factory :From Basics to Advanced
Rating: 4.4 (2111 reviews)

Learn ETL and Big Data Processing on Azure with Azure Data Factory V2. Bonus: Real World Use Cases

Created byAmit Navgire

Last updated 4/2026

English

What you'll 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 content

9 sections • 38 lectures • 10h 15m total length

Why Cloud Computing ?7:46
What is Cloud Computing ?10:41
Explore the types of cloud computing—public, private, and hybrid—and how data privacy and security are maintained. Identify IaaS, PaaS, and SaaS with examples like Azure, AWS, and Google Cloud.
What is Azure ?5:53
Create FREE Azure Account11:46
Quiz on Cloud Computing

Lookup Activity9:11
Get Metadata Activity9:54
Filter Activity14:19
Configure the filter activity to filter the lookup output in Azure Data Factory, using the items input, dynamic content, and the equals function on item fields like product subcategory.
For Each Loop12:10
Learn how the for each loop in Azure Data Factory iterates over a set of records using previous activity input, with sequential or parallel execution and inside-loop activities.
If else condition15:39
Execute Pipeline activity1:52
Load a table from one db to another db based on a condition

Dataflow Overview10:32
Source component24:52
Join transformation10:25
Select & Sort Transformation10:32
Exists Transformation9:04
Derived Column Transformation18:42
Explore the derived column transformation in Azure Data Factory data flows, updating existing columns, creating calculated ones, concatenating names, and using local variables for reusable expressions and validation.
Filter Transformation4:43
Aggregate Transformation10:19
Identify department-wise maximum salary and total salary using the aggregate transformation after joining employee and department tables; group by department name and apply max and sum functions.
Conditional Split Transformation9:58
New Branch Transformation5:08
Sink & Alter Row Transformation36:08
Load records in respective tables based on their department

Theory: Incremental Data Load16:09
Lab: Incremental Data Load45:02
Build an Azure Data Factory pipeline for incremental data load, syncing customer and lead data from the CRM source to destination staging with max last updated tracking.
Artifacts for Tables used in the Lab session0:29
Slowly Changing Dimension Type I (Concepts)9:25
Lab: Slowly Changing Dimension Type 126:21
Artifacts for Tables used in the Lab session of SCD Type 10:08
Slowly Changing Dimension Type 2 (Concepts)14:17
Artifacts for Tables used in the Lab Session of SCD Type II0:09
Lab: Slowly Changing Dimension Type 234:20

Requirements

Basic database concepts

Description

Unlock the full potential of Azure Data Factory with our comprehensive course, "Mastering Azure Data Factory: From Basics to Advanced Level."

Designed for data professionals and enthusiasts seeking a deep dive into the world of data engineering, this extensive program offers over 10 hours of in-depth content, packed with practical hands-on lab sessions and real-world examples.

Azure Data Factory is at the forefront of modern data engineering, empowering organizations to orchestrate complex data workflows seamlessly. In this course, we take you on a journey from the fundamentals to advanced techniques, equipping you with the skills needed to tackle any data integration or transformation challenge.

Our curriculum is carefully crafted to provide a holistic understanding of Azure Data Factory's capabilities. From basic concepts such as data movement and transformation to advanced topics like parameterization and monitoring, you'll explore every aspect of the platform in detail. Each module is accompanied by hands-on lab sessions, allowing you to apply theoretical knowledge to practical scenarios and cement your understanding through experiential learning.

But we don't stop there. Real-world examples and case studies are interspersed throughout the course, providing you with valuable insights into industry best practices and real-life applications of Azure Data Factory. Whether you're a beginner looking to build a strong foundation or an experienced practitioner aiming to enhance your skills, this course caters to learners of all levels.

Upon completion of the course, you'll emerge as a master of Azure Data Factory, equipped with the knowledge, skills, and practical experience to architect, deploy, and manage data pipelines with ease. Whether you're driving organizational transformation or pursuing personal growth, "Mastering Azure Data Factory" is your gateway to success in the dynamic world of data engineering.

Enroll now and embark on your journey to mastery! Happy Learning !

Who this course is for:

Data Engineers, Data Architect, ETL developer, Data Integration Engineers

[2026] Mastering Azure Data Factory :From Basics to Advanced

What you'll learn

Explore related topics

Course content

Cloud Computing Basics4 lectures • 36min

Introduction to Azure data Factory2 lectures • 17min

Building Blocks of Data Factory1 lecture • 53min

Copy Data Activity2 lectures • 1hr 25min

Control Flow Activities6 lectures • 1hr 3min

Data Flow Transformation11 lectures • 2hr 30min

Parameterize1 lecture • 49min

Monitor2 lectures • 15min

Real World Practical Use Cases9 lectures • 2hr 26min

Requirements

Description

Who this course is for: