For years, enterprises invested heavily in decoupled analytics stacks—separating underlying storage from complex, third-party compute clusters. While this approach offered initial flexibility, it has introduced a steep operational debt that must be paid. Highly skilled data engineers spend their working hours sizing compute clusters, managing idle capacity, and building fragile