From the course: Data Quality Testing with Great Expectations
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Triggering actions with checkpoints - Great Expectations Tutorial
From the course: Data Quality Testing with Great Expectations
Triggering actions with checkpoints
Now that we know how to create expectations and use them to run validations in GX, let's look into what to do with those validation results. Detecting errors in our data with failed validations is only half of the work. Once an error is found, we need to send some alerts and then actually fix the problems. In GX, the first two steps in this lifecycle are covered by checkpoints. A checkpoint is a bundle of a set of validation definitions and actions that are taken based on the results of those validations. A common example for an action is sending a Slack message when a validation fails. Checkpoints are one of the really nice convenience features of GX. Instead of having to read out the test results and then implement the actions yourself, they already come built-in. GX offers several built-in actions including sending an e-mail, sending a Slack or or Microsoft Teams message and updating data docs. You can also configure custom actions, but let's just start with a built-in one for now.…
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Triggering actions with checkpoints2m 55s
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Understanding data test failures2m 32s
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Root cause analysis of test failures3m 34s
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Approaches to debugging and fixing data quality issues2m 42s
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Creating fuzzy expectations2m 12s
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Updating and deleting Expectations in an Expectation Suite2m 29s
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Creating custom Expectations3m 24s
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Monitoring ongoing data quality2m 24s
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