Metric monitors detect anomalies in your data using ML-based algorithms or manual thresholds, supporting standard and custom metrics for tables or columns.
timestamp >= dateadd(day, -7, current_timestamp)
. Please ensure the SQL is compatible with your selected data connection.
Metric | Definition | Additional Notes |
---|---|---|
Freshness | Time since table was last updated | Measured in minutes. Derived from INFORMATION_SCHEMA. Only supported for Snowflake, BigQuery, and Databricks. |
Row Count | Total number of rows |
Metric | Definition | Supported Column Types | Additional Notes |
---|---|---|---|
Cardinality | Number of distinct values | All types | |
Uniqueness | Proportion of distinct values | All types | Proportion between 0 and 1 |
Minimum | Lowest numeric value | Numeric columns | |
Maximum | Highest numeric value | Numeric columns | |
Average | Mean value | Numeric columns | |
Median | Median value (50th percentile) | Numeric columns | |
Sum | Sum of all values | Numeric columns | |
Standard Deviation | Measure of data spread | Numeric columns | |
Fill Rate | Proportion of non-null values | All types | Proportion between 0 and 1 |