Complete understanding of Database and Data Warehouse fundamentals
Covers DBMS concepts: normalization, indexing, transactions, ACID properties
Deep dive into SQL architecture and query optimization basics
Data Warehouse concepts: OLTP vs OLAP, star & snowflake schema
ETL pipeline understanding and data modeling techniques
Real-world examples from analytics and data engineering systems
Helps build strong foundation for Data Engineering interviews
Focus on practical understanding, not just theory
Ideal for freshers and professionals switching to data roles
