View Validations

Validations are components responsible for monitoring and validating data in your sources. While a validation is connected to a single source, each source can have multiple validators to track individual metric calculations and their statistics.

Datachecks monitors metrics for database tables or columns and alert you if they go out of bounds.

Example:

• The total number of transactions processed in the payments table per day.
• The percentage of duplicate entries in the customer_email column.

On the Validations page, you can view and manage all the validations you have access to on the platform or manage validators per source. For more information, see Manage Validations

You can apply filters to exclude data from validation and use collections to partition the validation into one or more parallel groups for analysis. You can segment and monitor validation results over specific timeframes.

You can configure thresholds to define what values of the calculated metric should be considered an incident. All metric values that exceed your threshold are flagged as alerts and sent in notifications.

View Validations

You can review and manage validations form the Validations page, or the individual Validator details page.

When you arrive on the Validations page, you’ll see all the validations added to your workspace, along with their status. The key columns include:

• Name – The name of the validation.
• Type – The category to which the validation belongs.
• Last Results – A visual indicator of recent validation outcomes.
• Last Evaluated – The timestamp of the last time this validation was executed.

On each validation, you can execute, pause, edit, delete the validation, or view details as needed.

Above Validation Details, you can create a new validation by clicking on New Validation. For more information, see Configure Validation.

You can group multiple validations into a Collection by clicking on Add to Collection. For more information, see Collections.

On the right hand side you You can filter validations by their status, datasource, and validation to focus on critical issues and take necessary actions efficiently.