4 Guides
Data Engineering
Building and managing data infrastructure at scale.
- ETL
Engineering guide to ETL and ELT — batch pipelines, watermarks, idempotent loads, SCD, orchestration, and production data movement.
- Data Lakes
Engineering guide to data lakes — schema-on-read object storage, partitioning, medallion layers, governance, and lake vs warehouse trade-offs.
- Data Warehouses
Engineering guide to data warehouses — OLAP, star schema, dimensional modeling, ELT/dbt patterns, and governed analytics for BI.
- Lakehouse
Engineering guide to lakehouse architecture — open table formats (Delta Lake, Iceberg), ACID on object storage, and unified analytics and ML.