Lake vs Warehouse

Concepts: paDataLake

What They Want to Hear 'A lake stores raw data cheaply on object storage. A warehouse stores structured, query-optimized data in a purpose-built engine. A lakehouse puts a table format (Delta, Iceberg) on top of lake storage to get warehouse features without the warehouse cost.' Then the critical insight: 'Most modern platforms use both. The lake is the cheap source of truth. The warehouse materializes the hot queries.'