Autometrics are Bigeye's auto-generated recommendations for common types of metrics that you might want to use to monitor your data, like percentage null, freshness, and cardinality.
When you connect your database, Bigeye begins profiling your data to understand what it looks like. Bigeye can then generate Autometrics for the table based on the content of each of the columns. You can find these suggestions on the Autometrics tab of the table's catalog page. For more details on which metrics are available as Autometrics, and the criteria data must match in order for them to be suggested on a given column, review Bigeye's Available Metrics.
From then on, whenever a new table or a new column on an existing table is detected, Bigeye will re-profile that data and generate Autometrics for updated tables or columns. You can also force an Autometric check from the table level of the catalog at any time.
Deploying an Autometric will create a metric.
If Row Creation Time is set for a table, Bigeye will begin backfilling the historical values for the metric.
All Autometrics are deployed with autothresholds computed from historical data, and the backfilling process allows you to get accurate thresholds on the next run with no extra configuration.
Autometrics should cover a large portion of your monitoring, but for more specific checks, you can create manual metrics.
Updated 12 days ago