What you'll learn in this program
Course structure
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Dimensional modeling principles
Fact and dimension tables, grain definition, conformed dimensions, and handling hierarchies. Practice designing schemas for various business domains.
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ETL pipeline development
Data extraction techniques, transformation logic, incremental loading strategies, error handling, and logging. Tools covered include Apache Airflow and dbt.
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Cloud warehouse platforms
Comparative analysis of Snowflake, BigQuery, and Redshift. Storage formats, clustering keys, materialized views, and cost optimization.
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Performance optimization
Query tuning, indexing strategies, partition pruning, and caching mechanisms. Monitoring tools and troubleshooting common bottlenecks.
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Data governance and security
Access control, data masking, audit trails, and compliance requirements. Implementing role-based permissions and row-level security.
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Capstone project
Design and build a complete data warehouse for a simulated retail business. Present architecture decisions and demonstrate working queries.
Prerequisites
SQL proficiency required. Basic Python knowledge helpful but not mandatory. Familiarity with relational databases expected.
How this program works
Building a data warehouse requires understanding both technical implementation and business requirements. This program walks you through the entire process, from initial schema design to production deployment.
You will work with real datasets to create star and snowflake schemas, implement slowly changing dimensions, and optimize query performance. The curriculum covers traditional on-premise solutions alongside cloud platforms like Snowflake, BigQuery, and Redshift.
What the program includes
Hands-on projects simulate actual business scenarios. You will extract data from multiple sources, transform it according to business rules, and load it into dimensional models. Each module builds on previous concepts, so you gain practical experience with incremental loads, data quality checks, and partitioning strategies.
The final project involves designing a complete warehouse for a retail company, including customer behavior analysis, inventory tracking, and sales reporting. You will document your design decisions and present trade-offs between different architectural approaches.