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Create Uniqueness Data Quality Rule Occurrences in Data Governance and Catalog

Create Uniqueness Data Quality Rule Occurrences in Data Governance and Catalog

Step 5. Invoke the process

Step 5. Invoke the process

You can invoke the process to create or update a Rule Occurrence (RO) with a score for the selected data elements based on profiling results from CDGC.
To invoke the Process Selected Data Elements process, you can use one of the following options:
You must pass the following input parameters while invoking the process using the web browser and the Run Using option:
  • In_Catalog_Source: The name of the catalog source that the data element for which the RO is being created or updated belongs to.
  • In_Dataset: The name of the dataset that the data element for which the RO is being created belongs to.
  • In_Target: This value defines the ideal level of quality that should be achieved. If the score is greater than or equal to the Target, the Score status is set to Good.
  • In_Threshold: The minimum threshold of acceptability below which the data is considered as incorrect. If the score is greater than or equal to the Threshold and lesser than the Target, the Score status is set to Acceptable. If the score is lesser than the Threshold, the Score status is set to Not Acceptable.
  • In_Criticality: Parameter that defines the criticality level, which can be Low, Medium, or High, used to prioritize and classify the RO.
  • In_Data_Elements: A list of Data Element names for which you want to create or update the RO. To ensure a smooth operation, avoid creating an RO for more than eight data elements at a time.

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