Data engineering·Quality, tests and knowing it is wrong
every task is green, the run took its usual eleven minutes, and it processed zero rows.
Silent failure
Also calledgreen pipeline wrong data, success with no output
A pipeline reporting success while producing nothing or producing nonsense. It is the characteristic data failure, because most pipeline code cannot tell the difference between 'no new data' and 'the filter is broken'. The only defences are assertions about the output rather than about the run — freshness, volume, distribution — which is why quality checks are operational monitoring in this domain rather than a testing nicety.