You will apply dimensional modeling concepts to implement complete star schemas and validate their designs for business intelligence effectiveness.

You will establish a solid foundation in database normalization principles, understand Third Normal Form requirements, and begin applying these concepts to real-world database scenarios.

You will implement normalization techniques while applying strategic performance optimization methods, including indexing, query optimization, and selective denormalization for real-world database scenarios.

You will establish foundational understanding of SQL window functions, master the OVER() clause syntax, and implement basic window function queries for analytical calculations.

You will master advanced window function applications including rolling calculations, ranking functions, and comprehensive analytical implementations that mirror production data engineering workflows.

You will understand the critical importance of database replication for high availability, explore fundamental concepts of streaming replication and physical replication slots, and gain foundational knowledge needed for implementing fault-tolerant database architectures.

You will implement complete streaming replica configuration, validate replication health through monitoring, and demonstrate mastery by configuring a production-ready high availability setup with sub-5-second lag performance.

You will understand the fundamental concepts of incremental loading and prepare for hands-on implementation.

You will implement complete incremental loading workflows using hands-on practice and demonstrate mastery.

You will design and implement a complete data warehouse solution that integrates dimensional modeling, database optimization, advanced SQL analytics, high availability infrastructure, and efficient data loading processes to support enterprise business intelligence reporting.