Data Warehousing
The Architecture Behind Answers
A data warehouse is what you build when you need to ask analytical questions across large volumes of historical data. This section covers ETL pipelines, star and snowflake schemas, OLAP systems, and the architectural decisions behind systems designed for querying. It's where the data lives when it's not just about storing it, but about making it usable for analysis.
Data Marts
intermediateA focused slice of the warehouse built for one team's specific questions.
ETL Pipelines
beginnerExtract the data, clean it up, load it somewhere useful.
OLAP vs OLTP
beginnerTwo completely different jobs, two completely different database designs.
Star and Snowflake Schema
intermediateHow you lay out tables in a warehouse so analysts can actually query them.