Data engineering·Orchestration and running it in anger
the model runs when the table it depends on is actually updated, rather than at half past two because that is usually late enough.
Data-aware scheduling
Also calledasset-based scheduling, trigger on update
Triggering work from the state of data rather than from the clock — a partition appearing, a table being written. It removes the guesswork of choosing an offset and makes the dependency graph match the real one, which is what makes lineage and scheduling the same object. The requirement it creates is that every producer must reliably announce completion, which is a coordination problem rather than a technical one.