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Data Quality

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Data Quality policies let you continuously validate the accuracy, completeness, and consistency of your data as it flows through your pipelines.

Use these policies when you want to:

• Detect issues like null values, out-of-range values, or pattern mismatches in critical columns.
• Ensure data is fit for consumption before it reaches dashboards, models, or downstream applications.
• Automatically run checks on schedules and persist good and bad records for deeper analysis.

Use these APIs to create, run, and manage Data Quality policies.

• Create and List Policies
• Manage Policies by ID
• Manage Policies by Name
• Policy Executions and Results Type to search, ESC to discardType to search, ESC to discardType to search, ESC to discard  Last updated on Was this page helpful?SkipSend Next to read: Create and List Policies

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