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Minimum Incident Lineage (MIL): A Run-Level Evidence Standard for Reproducible Data Incidents
This story was originally published on HackerNoon at: https://hackernoon.com/minimum-incident-lineage-mil-a-run-level-evidence-standard-for-reproducible-data-incidents. Traditional data lineage shows dependencies—not proof. Learn how Minimum Incident Lineage helps teams reproduce, audit, and resolve data incidents faster. Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #data-engineering, #minimum-incident-lineage, #data-lineage, #big-data-analytics, #data-quality, #data-observability, #data-pipeline-debugging, #incident-response-analytics, and more. This story was written by: @anushakovi. Learn more about this writer by checking @anushakovi's about page, and for more stories, please visit hackernoon.com. Minimum Incident Lineage (MIL) is the minimal run-level evidence you must capture for each dataset published. It makes incidents replayable, auditable, and fast to triage, without storing raw data.
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