Data Warehousing

Learn how to ensure data quality in your data warehouse through profiling, validation, monitoring, and governance. Explore data quality dimensions, validation techniques, and best practices.

Learn about columnar database systems like Amazon Redshift and ClickHouse. Understand columnar storage architecture, optimization techniques, and implementation patterns for analytical workloads.

Learn the differences between data lakes and data warehouses. Understand when to use each approach and explore modern lakehouse architectures that combine the best of both worlds.

Learn real-time analytics architectures including stream processing, Lambda architecture, Kappa architecture, event-driven systems, and building real-time data pipelines with Apache Kafka and Apache Flink.

Learn how to integrate BI tools like Tableau, Power BI, Looker, and Metabase with data warehouses. Master semantic layers, data modeling for BI, and building effective dashboards.

Build a complete production-ready data warehouse from scratch. Comprehensive capstone project integrating all data warehousing concepts including dimensional modeling, ETL pipelines, BI integration, and more.