Data Warehousing and Business Intelligence
Learn how SaaS companies move operational data into warehouses and build BI dashboards using ETL/ELT, star schemas, and aggregation.
OLTP vs OLAP
Your live app database is OLTP (transaction processing): fast small reads and writes. Analytics needs OLAP: large scans over historical data.
Running heavy analytics on the production database harms app performance, so we separate them.
The Data Warehouse
A data warehouse (Snowflake, BigQuery, Redshift) stores large volumes of historical data optimized for analytical queries.
It is the single source of truth for reporting across the whole SaaS business.
All lessons in this course
- Data Pipelines for Analytics
- Integrating AI/ML Services
- Feature Flagging & A/B Testing
- Data Warehousing and Business Intelligence