Data Anomaly Detection: The Complete Guide for Data Engineers

Data anomaly detection is the process of identifying data points, patterns, or values that deviate from expected behavior. It catches schema changes, stale tables, row count spikes, and statistical outliers before they break dashboards or corrupt dow...