Data Observability

Data observability helps teams detect when pipelines fail, values change unexpectedly, schemas break, or datasets become stale. It applies operational monitoring principles to the data layer so downstream analytics and applications can be trusted. The concept is part of the data lifecycle that connects operational sources with reporting, analytics, automation, and machine-learning workloads.