Question
Describe a dataset or pipeline you care about. Which failure would cause the most harm: missing values, duplicates, stale data, schema drift, or something else? Share the first rule or signal you would put in place.
1 answer
Prioritise the failure that could silently produce a believable but wrong result. Begin with freshness, row-volume bounds, required identifiers, uniqueness, and valid domain values. Give every rule an owner, a severity, and a clear response. A small set of actionable checks is more valuable than many alerts nobody trusts.