Enable asset monitoring

Here's how you switch on monitoring for a table.
Table-level monitors are created by our system as soon as you connect your data source and thresholds are auto-detected based on your metadata. Follow the steps below to enable monitoring for a Table.
  1. 1.
    From the Catalog page, navigate to the table that you wish to switch on monitoring.
Click on a table that you wish to monitor.
  1. 2.
    On the Table Asset Details, navigate to the Table Configuration button.
Example of the Asset Details for a Table.
  1. 3.
    Select your monitoring settings from the dropdowns available.
  • Frequency: How often your table is inserted or updated.
  • Metric Time: Select a timestamp column, either created_at for a frequently inserted table or updated_at for a frequently updated table. This informs our scanner to check the right column for the Frequency selected.
    • You will also be able to select a date column. However, selecting a date column will limit your scan frequency minimum to 24 hours.
For Google Big Query and Snowflake connections, selecting a metric time column is not a prerequisite.
  • Table Monitoring: Toggle this on to enable tests to be run on your table for monitoring. Enabling this will switch on Freshness and Volume tests for this table.
  • Get Notified: Toggle this on to allow us to send you alert notifications when incidents occur.
Schema drift monitoring is enabled by default across your data source. You just have to let us know whether you'll like to get a notification by toggling it on for the specific table.
Example of a configuration done on a table.
It is necessary for some data sources to select the metric time column which is typically a timestamp column. This is to prevent large database costs incurred when running scans on all rows in the table.
After you have set up your table monitoring, you can go over to configure your alert channels.
Want to set up specific field-level monitoring? You can opt to either select from a set of preset tests or write your own custom SQL scripts, learn more below.