Configure Data Discovery patterns

Configure a Data Discovery pattern and review current patterns. A Data Discovery pattern defines the regular expression used to match data against a target table.

Avant de commencer

Role required: data_discovery_admin

Procédure

1. Navigate to System Security > Data Discovery > All Data Patterns.
2. In the Data Discovery Pattern list, select New.
3. In the Data Discovery job fields form, fill in the fields.

   Tableau 1. Data Discovery job fields

   Field	Description
   Internal Scope	Scope of the pattern.
   Description	Description of the job.
   Name	Name of the data pattern.
   Application	Application scope of pattern.
   Expression	Regular expression used to discover the data pattern. Remarque : Expression length must be less than 1000 characters.
   Keyword(Optional)	A specific word(or words separated by comma) to be searched for around a expression. Must be used with Keyword Proximity Remarque : A keyword can be used to search for additional context for a pattern. For example, using keyword can help differentiate between a date of birth or a date of hire given they have the same MM/DD/YY formatting.
   Keyword Proximity(Optional)	How far from the expression to search for keywords. Must be used with Keyword Remarque : Default is 30, upper bound of 64
   Privacy technique configuration	Privacy technique used for the pattern
   Synthetic Value	List of values substituted for the patterns
   Type	Type of pattern Local: The pattern is regex-based Model: Uses AI/ML service

4. Select Submit.
   • The Test button enables you to test your regular expression before submitting the data pattern list.

The data pattern must be set as active to be used with scheduled jobs.

5. Navigate to System Security > Data Discovery > Active Data Patterns.
6. In the Data Discovery Active Pattern list, select Edit.
7. Select the pattern list from Available Lists and move it to Selected Lists.