Introduction To Azure Data Factory

Name: Introduction To Azure Data Factory
Rating: 4.3 (573 reviews)

Quick-start guide to Azure Data Factory — build, connect & automate pipelines in under 2 hours. Perfect for beginners.

Created byStep2C Education

Last updated 4/2026

English

What you'll learn

How to create and set up an Azure Free Tier account for practice.
The core working principles of Azure Data Factory with visual animations.
How to create azure data factory instances ?
Steps to create Linked Services, Datasets, and Pipelines in ADF.
How to automate pipeline executions using different types of triggers.
How to work with different Azure storage services like Azure SQL Database and Azure Storage Account.

Course content

4 sections • 27 lectures • 2h 13m total length

Create Azure Free Tier Account3:52

Working Of Azure Data Factory -Animations4:36
Create Azure Data Factory Instance4:54
Create Source System -Azure SQL Database3:54
Create Our Target System -Azure Storage Account2:43
Access Azure SQL DB from Azure & SSMS1:58
Azure Data Factory For The First Time2:24
Navigate Azure Data Battery’s interface to create pipelines, data sets, data flows, and triggers, manage linked services and integration runtime, and monitor executions across home, other, and manage tabs.
Create Linked Services To Access Source And Destinations Storage Systems4:57
Define Our Date Using Data set5:52
Create Azure Data Factory Pipelines (New Data Engineering Project)5:57
Automate Pipeline Executions Using Different Triggers3:57

Introductions To Process Multiple File Using ADF3:49
Create Azure Resource And Name It Properly8:37
Upload Multiple Sales Data Into Azure Data lake3:35
Upload multiple sales data files with the same schema into an Azure Data Lake by creating a container with source and target folders, then access it via adf.
Copy A specific File From Source To Target6:20
Copy Multiple files in a single operation by using the Wildcard file path5:08
Preserve Hierarchy vs Flatten hierarchy vs Merge files4:46
Explore how wildcard patterns and sync sets copy data from source to target, then choose merge, preserve hierarchy, or flattened hierarchy for file outputs.
Process Multiple Files Using List Of Files4:39
Read Metadata From Source Locations7:46
Process Multiple Files Using For each activities5:48
Filter Specific Files Using IF Activity6:03
Copy Multiple Files Using single Copy Activity-With the Help Of Dynamic Data set8:08
Copy multiple files with a single copy activity using a dynamic dataset, parameterizing filenames and using for each with get metadata to copy sales CSV files to the target.
Design A Metadata Table4:06
Design a metadata driven approach to copy data by storing source and target details in a metadata table, then read it to drive copies with Azure Data Factory.
Design New Metadata DB In Azure SQL Database6:06
Read Metadata Details Using A Lookup Activity4:41
Execute MetaData Driven Approach To Copy Multiple Files7:37

Requirements

A laptop, computer, or mobile device to watch the lessons.
An Azure subscription (Free Tier or Pay-As-You-Go) to follow along.
A stable internet connection.
Basic understanding of Azure Cloud (optional — we start from scratch).

Description

Get started with Azure Data Factory in less than 2 hour!
This short, practical course is designed to help beginners quickly understand the core concepts and workflows of Azure Data Factory (ADF). Whether you’re exploring ADF for the first time or looking for a quick refresher, this course will guide you step-by-step through setting up, connecting, and automating your first data pipeline.

What You’ll Learn

Create your Azure Free Tier Account and set up the environment
Understand the working of Azure Data Factory through visual animations
Create an ADF instance and explore its interface
Build a source system using Azure SQL Database
Learn to connect and access data using Azure Portal and SSMS
Set up a target system using Azure Storage Account
Create and configure Linked Services in ADF
Define your data with Datasets
Build and execute ADF Pipelines step-by-step
Automate pipeline runs using different Triggers

Who This Course Is For

Beginners who want to learn Azure Data Factory quickly
Students and professionals looking for a fast, hands-on introduction to ADF
Anyone preparing for data engineering or Azure fundamentals learning paths

Why Enroll in This Course

Lifetime access — revisit anytime, learn at your own pace
Gift this course to friends or colleagues who want to start with Azure Data Factory
30-day money-back guarantee (Udemy refund policy applies)
Ideal for beginners and anyone wanting a quick, hands-on refresher

By the end of this course, you’ll have a solid understanding of Azure Data Factory fundamentals and the confidence to build and automate your own data pipelines in the Azure environment.

Who this course is for:

Beginners who want to quickly learn Azure Data Factory basics.
Students exploring data engineering or Azure fundamentals.
Any students who want to understand, how to use Azure data factory to copy some data
Aspiring data engineers looking for a hands-on introduction to ADF.
IT professionals wanting to understand Azure’s data integration tools.
Analysts or developers migrating workflows to Azure.
Learners preparing for Azure certifications (like DP-900 , AZ-900).
Anyone looking for a short, practical refresher on ADF setup and pipeline creation.

Introduction To Azure Data Factory

What you'll learn

Explore related topics

Course content

Introduction1 lecture • 4min