ELEMENTARY CLOUDML-powered anomaly detection monitors automatically identify outliers and unexpected patterns in your data.
These are useful to detect issues such as incomplete data, delays, a drop in a specific dimension or a spike in null values.Elementary offers two types of monitors:
Out-of-the-box ML-powered monitoring for freshness and volume issues on all production tables.
The automated monitors feature provides broad coverage and detection of critical pipeline issues, without any configuration effort.These monitors track updates to tables, and will detect data delays, incomplete updates, and significant volume changes.
Additionally, there will be no increase in compute costs as the monitors leverage only warehouse metadata (e.g. information schema, query history).