Manual data checks don’t scale. Build assertions, sanity checks, and alerts into your pipeline. Broken data should break your build. Automated data validation is your first line of defense against silent failures. Use schema checks, distribution monitoring, and anomaly detection to catch issues early. Treat data quality as code quality... automate, test, and alert on every run. [[ML]] [[Serendipity]]