A Data Anomaly Policy automatically detects unexpected or abnormal behavior in your data profiles over time. This includes anomalies in:
- Record counts
- Value distributions
- Null patterns
- Outliers
- Statistical deviations from historical baselines
This policy helps you identify sudden issues in dataset behavior before they cascade into downstream failures or impact business dashboards.
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