Data Domains and Data Domain Groups
Data domain discovery is the process of discovering the semantics of data.
A data domain is a predefined or user-defined Model Repository object based on the semantics of column data or a column name. Examples include Social Security number, phone number, and credit card number. You use rules to define data and column name patterns that match source data and metadata and create data domains in Live Data Map. 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. Data domain groups help you categorize data domains into specific group. You can group logical data domains under a data domain group.