What is a key difference between a data warehouse and a data lake in terms of data

structure?

Data warehouses enforce a schema upfront $($schema$-$on$-$write$),$ while data lakes

apply schema during analysis $($schema$-$on$-$read$).$

Data warehouses are not designed for data analysis, while data lakes are built for

complex analytics.

Data warehouses cannot store historical data, while data lakes specialize in

historical data storage.

Data warehouses only store structured data, while data lakes only store

unstructured data.