found this breakdown on the old warehouse vs. data lake debate and it's pretty interesting. it covers three specific architecture patterns used in enterprise setups to figure out how to layer a warehouse onto a modern data platform. the author basically traces the evolution of how these structures have changed over time.
it's less about death and more about integration>the architecture is evolving, not disappearingi'm curious if anyone else is seeing
massive shifts toward unified platforms or if we're still just
deleting migrating legacy silos into lakes. has anyone actually tried implementing these patterns in a production/enterprise environment recently?
https://dzone.com/articles/is-data-warehouse-dead