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These docs are for v2.0. Click to read the latest docs for v4.2.

About Validator Incidents

An incident is a data quality issue captured by a Validator. The Incidents page allows you to review, triage, and troubleshoot data quality issues.

Example of Validator threshold failure

Example of an Incident

How to get notified about an Incident?

When an Incident occurs a Notification is sent, depending on the notification settings.

How to triage and troubleshoot Incidents?

The Incidents page aggregates all incidents from all Sources. This page allows you to:

  • Assign ownership and update the status of incidents during the triage process.
  • Sort and filter incidents based on various criteria such as owner, status, and type, helping you monitor the progress of Incident resolution.
  • Access detailed information for any incident by clicking on it, which takes you to its Incident details page.
Incidents page

Incidents page

In addition to the Incidents page, it is also possible to overview, triage and troubleshoot Incidents from other pages, such as:

Recommended approach

We recommend the following approach to triage and troubleshoot an incident:

  1. Make sure to have Notifications set up, so that you are notified when an Incident occurs. Using the link in a Notification, you can navigate straight to the Incident details page.

    You can also navigate to the Incident details page from the Incidents page, or the Validator details page.

  2. Assign an Owner and a Status to the Incident, as described on the Incidents page. Make sure to continuously update Owner and Status, according to your ways of working, throughout the whole triaging and troubleshooting process.

  3. When troubleshooting an Incident, it is very helpful to visit:

    • The Debug tab for detailed information about underlying data assets and logic.
    • The Lineage tab for understanding which assets are related to, and dependent on, the data where the Incident occurred.
    • The Validator details page page, to get more contextual information about the Incident, such as information about Threshold types, Segmentations and viewing the behavior of adjacent datapoints in the graph.