What you'll learn:
- Understand what Azure Data Factory (ADF) is and how it fits into cloud data engineering
- Set up your first data pipeline to move and transform data
- Work with different data sources like Azure Blob Storage, Azure SQL, and Data Lake Gen2
- Use best practices to handle complex, real-world ETL workflows
- How To Create Pipelines In Azure Data Factory.
- How To Create Data set & Linked services in Azure Data Factory.
- Learn To Use Pipelines and activities in Azure Data Factory.
- Handle parameters, variables, triggers, and manage data securely
- How To Integrate Azure Data Factory With Azure DevOps.
- How To Integrate Azure Data Factory With GitHub.
- Continuous Integration and Delivery (CI/CD) in Azure Data Factory.
- Apply CI/CD practices using Azure DevOps
- Transform Data With Mapping Data Flows.
- Prepare Data With Wrangling Data Flows.
- Learn To Use Different Data Flow activities in Azure Data Factory.
- Parameterizations Of Data set and pipelines.
- Triggers In Azure Data Factory.
- Schedule and monitor your pipelines
- How to build Custom Email Notification In Azure Data Factory.
- Introduction to Cosmos DB.
- Introduction to Azure Synapse Analytics.
- Introduction To Azure SQL.
- Dynamic Data Masking in Azure SQL.
- Learning Materials For DP 203 Exam
- Introductions To Power BI
Azure Data Factory Masterclass: Learn ADF with Real Projects, CI/CD & DevOps
Learn Azure Data Factory step-by-step with real-world projects and master complex data workflows using ADF — beginner-friendly and regularly updated.
Welcome to the Azure Data Factory Masterclass by Step2C Educations, your trusted source for practical and career-focused data engineering content. Whether you're a beginner or an IT professional looking to switch to data engineering, this course will help you learn Azure Data Factory (ADF) from the ground up and build confidence to create complex, production-grade data workflows.
This course was first launched in 2020, and thanks to feedback from thousands of learners, we’ve kept it updated regularly to reflect the latest features, changes, and best practices in the Azure ecosystem. The latest updates include coverage of CI/CD (Continuous Integration and Delivery), DevOps automation, and real-world data pipeline use cases.
This course is taught by Sarafudheen PM, an experienced Data Engineering Trainer and Cloud Consultant with deep expertise in Azure Data Factory, Azure DevOps, Databricks, and data pipeline orchestration. With a passion for making technical topics easy to understand, Sarafudheen has helped thousands of students transition into data engineering roles through real-world project-based teaching.
He is also the founder of Step2C Educations, a platform dedicated to helping learners build practical skills in cloud, data, and DevOps technologies.
Azure Data Factory is the cloud-based ETL and data integration service that allows you to create data-driven workflows for orchestrating data movement and transforming data at scale. Using Azure Data Factory, you can create and schedule data-driven workflows (called pipelines) that can ingest data from disparate data stores.
You can build complex ETL processes that transform data visually with data flows or by using compute services such as Azure HDInsight Hadoop, Azure Databricks, and Azure SQL Database.
Additionally, you can publish your transformed data to data stores such as Azure SQL Data Warehouse for business intelligence (BI) applications to consume. Ultimately, through Azure Data Factory, raw data can be organized into meaningful data stores and data lakes for better business decisions.
Mastering Power BI:
New addition, We have add ne new module to explain power BI dashboard development.
In this course, you are going to learn
How to Create Free Azure Subscriptions.
Why we need the Azure Data Factory.
What are the Key Components Of Azure Data Factory?
How to create Azure Data Factory Instances,
How to create Azure SQL databases
How to create tables In Azure SQL databases and insert data into your tables using SQL Server management studio.
How to create a Blob Storage Account using the Azure portal.
How to create Azure Data Factory Instances.
How to create linked services in Azure Data factory.
How to create data set in Azure Data factory.
Master different types of activities inside Azure Data Factory.
Azure Data Factory Custom Email Notifications.
Learnto transform your data with mapping Data Flow
Learn to prepare your data with Wrangling Data Flow.
Github integrations.
Devops integrations.
Parameterization in Azure Data Factory Data Set and Pipelines.
Continuous Integration and Delivery (CI/CD) in Azure Data Factory.
Custom email notification in Azure Data factory
Slowly changing dimension.
Incremental Load in Azure Data factory
Azure Cosmos DB
Azure Synapse Analytics
Dynamic Data masking
Mastering Power BI
Additional Learning Materials -For DP 203 Exam Preparation.)
Azure Mapping Data Flow New Module
Why This Course?
Beginner-friendly — no prior Azure experience required
Project-based — work on real data scenarios
Regularly updated — reflects latest Azure ADF changes
Taught by an industry expert who explains complex concepts in simple terms
Includes CI/CD, DevOps, and automation, not just basics
