Use validation rules to check if the data is in line with the defined standards.
To validate data, you can use several validation types. This flow explains how to set up the Data pattern validation type.
Name | Responsible | Description |
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Set up data pattern |
Data quality administrator |
You can use a data pattern validation rule to validate if a field value matches a defined pattern. To set up a data pattern validation rule, first set up the data pattern to be applied. Define the data pattern, using a regular expression. You can, for example, set up data patterns to validate:
For more information on regular expressions, refer to Regular expression. |
Set up validation rule of type Data pattern |
Data quality administrator |
Use validation rules to check if the data is in line with the defined standards. Use a data pattern validation rule to validate if a field value matches a defined pattern.
Before you can set up a data pattern validation rule, set up the data pattern to be applied.
You can add validation rules in these ways:
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Set up validation rule message |
Data quality administrator |
You can define a message that is shown if the validation rule is not met. If no validation rule message is defined, the default message is shown if the validation is not met. In case of a data pattern validation, the applicable data pattern can also have a message defined. In this case, the message priority is:
You can also enter a description of the validation rule. You can translate both the validation message and the validation rule description. |
Set up validation rule conditions |
Data quality administrator |
For each validation rule, you can set up conditions. The validation rule is only applied if the conditions are met. To define a validation rule condition, you use a query. The validation rule is applied only to the records that are found by the query.
You can use these types of queries:
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