Data Domains
A data domain is a predefined or user-defined Model repository object based on the semantics of column data or a column name. For example, Social Security number, credit card number, email ID, and phone number can be individual data domains.
A data domain helps you find important data that remains undiscovered in a data source. For example, you may have legacy data systems that contain Social Security numbers in a Comments field. You need to find this information and protect it before you move it to new data systems.
You can choose a minimum percentage of source rows or minimum number of source rows as a conformance criteria for data domain match. You can also exclude null values when you perform data domain discovery in a column profile.
You can group logical data domains into data domain groups. A data domain glossary lists all the data domains and data domain groups. Use the Preferences menu in the Developer tool to import and export data domains to and from the data domain glossary.
You use rules to define data and column name patterns that match source data and metadata. When you create a data domain, the Analyst tool or Developer tool copies associated rules and other dependent objects to the data domain glossary. Use the Developer tool to manage data domains that includes import and export of data domains to and from the data domain glossary. You can also use the Developer tool to manage the rule logic of data domains.
Note: You may want to save all the data domain rules in a single project or folder. This step helps after you export data domains and you have a need to edit the rules and other associated data objects.