Term Kind Topic What it is
Data Observability practice Data Observability Continuous automated monitoring of data health — freshness, volume, schema, distribution and lineage — designed to detect silent data failures.
Pipeline Anomaly Detection practice Data Observability Monitoring row counts, distributions, freshness and schema for unexplained change, because data pipelines fail silently far more often than they error.