Course Overview
ETL/ELT pipelines are the foundation of modern data platforms, enabling organizations to move and transform data reliably across cloud and on-premises systems.
In this course, you will learn how to design ETL and ELT workflows, build reusable pipeline patterns, and implement data transformation logic using Azure Data Factory.
Through practical labs and real-world projects, participants will build production-grade ETL/ELT pipelines using Data Flows, Copy Activities, and pipeline orchestration techniques.
By the end of this course, learners will be able to design scalable, reusable, and cost-efficient ETL/ELT pipelines for enterprise data platforms.
Course Distinction
What makes our course unique?
Unlock Efficient Data Pipeline Design
Master the concepts behind reliable, reusable ETL/ELT pipeline patterns, transforming how organizations process data.
Expert-Led Industry Training
Learn from ETL and data integration practitioners with real-world pipeline design experience.
Hands-On Learning
Build real ETL/ELT pipelines and transformation workflows through guided labs and capstone projects.
Practical Enterprise Use Cases
Learn how ETL/ELT pipelines are used across finance, retail, healthcare, and logistics.
Course Content
- ETL vs ELT concepts
- Data pipeline design principles
- Azure Data Factory architecture
- Linked services and datasets
- Copy Activity and data movement
- Source and sink configurations
- Schema mapping and data type handling
- Incremental data loading patterns
- Mapping Data Flows for transformation
- Aggregations, joins, and lookups
- Data cleansing and validation logic
- Performance tuning for large datasets
- Control flow activities and dependencies
- Parameterized and dynamic pipelines
- Trigger-based and event-driven pipelines
- Error handling and retry logic
- Relational and file-based sources
- REST API and cloud storage integration
- On-premises to cloud data movement
- Handling structured and semi-structured data
- Pipeline monitoring and alerting
- Cost and performance optimization
- Logging and auditing pipeline runs
- Security and access control
- CI/CD for ADF pipelines
- Reusable pipeline templates
- Testing and validation strategies
- Enterprise deployment best practices
Capstone Project
Design and build a complete ETL/ELT pipeline solution using Azure Data Factory that solves a real-world enterprise data integration challenge.
Key Features
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Instructor-led interactive sessions -
Real-world case studies -
Hands-on pipeline development -
Hands-on pipeline development -
Access to Azure learning resources -
Capstone project
Skills Covered
- ETL/ELT Pipeline Design
- Azure Data Factory
- Mapping Data Flows
- Data Transformation & Cleansing
- Pipeline Orchestration
- Incremental Data Loading
- CI/CD for Data Pipelines
- Cloud Data Integration
Advancements
Business Impact
FAQ?
Customized Corporate Training
We also provide corporate training programs tailored for organizations looking to build reliable ETL/ELT data pipelines.
✔ Custom curriculum
✔ Industry-specific use cases
✔ Flexible training delivery
✔ Enterprise consulting support
Who Should Attend
ETL Developers
Data Engineers
Data Analysts
BI Developers
IT Professionals
Database Administrators
Build the Future with ETL/ELT Pipelines
Become a specialist in Data Pipeline Design and Automation using Azure Data Factory.
✔ Learn from industry experts
✔ Work on real ETL/ELT projects
✔ Earn certification
Testimonial
What people are say?

















