What is a data lake and how is it different from a data warehouse?

A data lake stores raw, unstructured data; a data warehouse stores structured, processed data.

Data lakes support schema-on-read, making them flexible for analytics, ML, and big data. Data warehouses enforce schema-on-write for consistent reporting and BI. Lakes are cheaper but harder to govern; warehouses are optimized for query performance.