Data Warehouse & ETL Concepts
Architect scalable analytical environments using Kimball Dimensional Modeling.
Professional Outcome
"Build production-ready Dimensional Models (Star/Snowflake)."
Designing ETL/ELT workflows that incorporate Change Data Capture (CDC) and fundamental Data Governance practices to ensure 'single source of truth' reliability.
Next Cohort Starts: March 15, 2026
What you will
Achieve
Students will be able to architect a scalable analytical environment. They will master Kimball Dimensional Modeling, including the design of Fact and Dimension tables derived from business logic.
Curriculum Highlights
- Theoretical foundations and mental models
- Hands-on lab environments for practice
- Real-world business case studies
- Performance optimization strategies
- Production-grade implementation patterns
Prerequisites
This is a module in our Beginner Track. While no prior experience in Data Engineering is required, basic computer literacy is essential.
Ready to take the
Next Level?
Our intermediate and advanced modules are designed to bridge the gap between foundations and professional expertise.