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Stay ahead of data issues, from detecting schema changes to identifying duplicates and null values. These checks will help you quickly uncover potential data issues.
Choose which fields to monitor with readily available test types such as null%, regex_match and cardinality. If you have a specific business use case, you can also leverage our custom monitors to write specific SQL scripts to run tests.
See more context on each incident with its historical trend and give feedback to our ML-powered incident model. See the list of affected rows that had triggered the failing test to get to the root cause. You can then assign incidents to specific users to take action for resolution.
Incident notifications are delivered right where it’s needed - to a team email, or a Slack channel, or your custom application via webhook. Further set up custom channels for each monitor to keep the right people in the loop.
From your downstream lineage and linked assets in the Glossary, we will show you all impacted assets from the incident. Inform owners of these incidents directly, and also let them know once the incident has been resolved.
One control panel to set up all your monitoring needs without going into each table in your data source. Save your time by setting up all your field monitors from one view.
Write your own tests with SQL scripts to set up monitoring specific to your needs.
Find where the incident took place and replicate events for faster resolution times.
Enable monitoring across multiple tables within sources by our one-page bulk config.
Choose which fields to monitor with 12 available test types such as null%, regex_match, cardinality etc.
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Thresholds for table tests such as Volume and Freshness are auto-detected by our system once data source is connected.
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Alerts are grouped so we don't spam you 100s of notifications. We also deliver them directly to your email or Slack.
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Always experience missing data? Check for data-diffs between any two datasets such as your staging and production tables.
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