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.