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Define a Data Quality Rule and Scan

A 3-step recipe with Microsoft Purview. We can help you get access.

Recipe · 3 steps

Define a Data Quality Rule and Scan

with Microsoft Purview · Data Quality Management

Create a data quality rule and run a scan that evaluates it.

  1. Create the data quality rule targeting the asset.
  2. Read the rule back by its identifier to confirm it was stored.
  3. Run a data quality scan that evaluates the rule against the asset.
What you'll need to have ready
  • authorization: The OAuth2 bearer token value, e.g. "Bearer eyJ0...".
  • apiVersion: The Data Quality API version.
  • ruleName: The name for the new data quality rule.
  • ruleType: The rule type (Completeness, Uniqueness, Freshness, Accuracy, Consistency, or Validity).
  • expression: The rule expression evaluated against the asset.
  • severity: The rule severity (Low, Medium, High, or Critical).
  • assetId: The data asset identifier the rule targets and the scan evaluates.
For your developer

Arazzo workflow microsoft-purview:define-rule-and-scan-quality, 3 operations: createDataQualityRule → getDataQualityRule → runDataQualityScan. Specs on APIs.io.

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