How to test Reference Data using Validation Rule?

Maintaining accurate reference data is essential for data integrity and reliable decision-making. This video demonstrates how iceDQ’s validation rules empower you to:

  • Verify data against predefined values: Ensure your reference data adheres to established standards and prevent inconsistencies.
  • Automate data checks: Streamline data quality processes by automating reference data validation and eliminating manual verification tasks.
  • Identify and address data errors: Proactively identify and rectify inaccurate reference data before it impacts downstream processes.

Learn how to:

  • Create and configure a validation rule in iceDQ.
  • Set up a source connection to your reference data table.
  • Implement a “Contains” check to verify against expected values.
  • Interpret rule results and address any discrepancies.
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