Data observability is the ability to understand, diagnose, and manage data health across multiple IT tools throughout the data lifecycle. A data observability platform helps organizations to discover, triage, and resolve real-time data issues using telemetry data like logs, metrics, and traces.
Data observability tools use machine learning for automated data anomaly monitoring, learning from historical metadata to automatically set up thresholds and detect outliers. It also allows to automatically establish lineage from data in your warehouse to the dashboards used by your stakeholders to understand downstream impact. No more broken dashboards, data syncs, and ML models.