Data Warehouse Architecture: Building the Foundation for Analytics
Learn the core architectural patterns of data warehouses, from ETL pipelines to dimensional modeling, and how they enable business intelligence at scale.
Learn the core architectural patterns of data warehouses, from ETL pipelines to dimensional modeling, and how they enable business intelligence at scale.
Explore DuckDB, the in-process analytical database that runs anywhere, handles columnar storage efficiently, and brings analytics to where your data lives.
Explore snowflake schema design, where dimension tables are normalized into related sub-tables, reducing redundancy and enabling shared reference data.
Discover why star schema remains the dominant approach for analytical databases, how it enables fast queries, and when to use it versus alternatives.
OLAP vs OLTP comparison. Star and snowflake schemas, fact and dimension tables, slowly changing dimensions, and columnar storage in data warehouses.