Monitoring data, detecting anomalies even before they happen and explaining issues’ root-causes. Konstellation uses ML-driven anomaly detection algorithms as well as user-defined monitors to understand your data, outline their lineage and calculate standardized quality and reliability scores per asset. Konstellation works at a highly automation level, and does not require additional configuration when your data pipelines evolve.

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