EulerFoldAspiring Data Engineers
Data Warehousing Basics
“Understand OLAP vs OLTP, schemas, and ETL before building pipelines in dbt or Snowflake.”
What you'll learn
Differentiate between OLTP and OLAP systems
Design star and snowflake schemas
Implement ETL strategies and slowly changing dimensions
Compare cloud data warehouses and data lakes
Master Advanced Dimensional Modeling Techniques
Understand Data Governance and Security
Optimize Data Warehouse Performance
Explore Modern Data Architectures (Data Mesh, Lakehouse)
W1
Data Warehouse Architecture
2 videos•19m
3 readings
2 topics
1 homework
W2
Dimensional Modeling Fundamentals
2 videos•17m
2 readings
2 topics
1 homework
W3
Advanced Dimensional Modeling
2 videos•21m
3 readings
2 topics
1 homework
W4
ETL Processes
2 videos•63m
2 readings
2 topics
1 homework
W5
Data Loading Strategies
2 videos•43m
2 readings
2 topics
1 homework
W6
Modern Data Platforms
2 videos•60m
3 readings
2 topics
1 homework
W7
Performance and Optimization
2 videos•29m
2 readings
2 topics
1 homework
W8
Next-Gen Architectures
2 videos•31m
3 readings
2 topics
1 homework
01
Learn
Watch curated videos and read study resources
02
Practice
Practice what you learned
03
Build Projects
Build projects using your new gained knowledge
04
Submit & Verify
Submit your project and get verified by our system
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