Beta release disclaimer
When using Beta release features, you may encounter bugs and or edge case limitations. Additionally, there is no guarantee that an Beta feature will progress to the GA release stage.
Field Quality monitors offer an easy way to define an alert condition on a field metric like % null, % unique, etc. Unlike Field Health monitors, which rely on Machine Learning models to surface anomalies based on historical patterns, Field Quality monitors ensure any alert condition breach will immediately trigger an Incident.
These monitors are ideal for important fields that have experienced data quality issues in the past or where metric changes (ex. % unique rate decreasing below 100%) would impact downstream processes and analytical use cases.
Steps to create a Field Quality monitor:
- Visit the Catalog page for the table with the field in question
- Click on Create Monitor and select Field Quality OR Find the field in Field Lineage and click the (+) icon
- Confirm the selected field
- Select the field metric you want to monitor (% null, % unique, etc)
- Define the alert condition for the metric
- Add field filters to refine the metric (most users apply datetime field lookback filters here!)
- Edit the monitor name, labels and/or notes
- Save the monitor
Editing Field Quality Monitors during Alpha
Field Quality Monitors will create customized SQL Rules that monitor the specified metric. To differentiate, the Field Quality Monitors will include a
[Field Quality]prefix in the SQL Rule name. Note that the SQL and alert condition will be fully editable if you wish to edit the monitor.
In subsequent releases, we plan to promote Field Quality Monitors into a first-class Monitor type where the metric, alert condition and field filters are editable via a standard input form.
The following field metrics are currently supported:
|Metric||Supported data types||SQL used to calculate metric|
|% null||All (Numeric, Text, Boolean, Datetime, Time, Array)|
|% unique||Numeric, Text, Boolean, Datetime|
We currently support the following operators to define your alert condition.
- Equal to (=)
- Less than (<)
- Less than or equal to (<=)
- Greater than (>)
- Greater than or equal to (>=)
- Not equal to (!=)
Datetime field filters highly encouraged
To reduce the risk of expensive and/or timed out queries, we highly encourage applying a filter on a Datetime column to limit how many records are returned in each monitor run. Follow the steps below to add a Datetime field filter.
Field filters apply basic WHERE clauses to the underlying query to reduce which records are included in the metric calculation query. The most common application is to reduce the lookback range of the query so only recent records are returned.
Steps to apply a field filter:
- Click the blue (+) icon
- Select a table field
- Use the operator to specify lookback range, string filter, etc.
Updated 19 days ago