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Detecting anomalies in data quality | Snowflake Documentation
Summary
This page describes how to use Snowflake's anomaly detection algorithm to automatically identify data quality issues in data metric functions (DMFs). It explains how to enable anomaly detection for system DMFs like ROW_COUNT and FRESHNESS, adjust sensitivity levels, and identify anomalies using dedicated event tables and views.
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