By automatically tracing lineage and alerting teams to statistical deviations, it shifts quality management from reactive firefighting to proactive anomaly prevention. Modern observability deploys machine-learning monitors to continuously track pipeline health, schema drift, and data freshness in real time. It transforms abstract quality goals into an enforceable accountability matrix, guaranteeing that every dataset has a […]