Labels

Labels are used to categorize the fields analyzed during the Discover step within a Model.

Gigantics provides a set of labels (internal), however, the user can enable/disable them individually as well as create new ones (custom/ labels).

Custom labels

To create a new label (custom) and that can be used in any project model, it is necessary to indicate or give a hint so that gigantics can assign the label to a field.

In the type field, you specify what type of help or hint is offered:

• Metadata hint: Matches the entity or the field name to apply the label.
• Data Matchers: Matches the record value to apply the label.

You can define the label as PII Data and assign it a severity that will be displayed in the discover stage of any model in the project.

In the Masking, it is possible to assign a transformation function to the label. This function has to be defined in the Functions section.

So, for example, we want to create a 'user/gender' tag that is also sensitive data and applies only to certain entities that match a regular expression:

Name: user/gender
Type: Metadata hint
 
Entity (regex): ^employ.*
Field (of the entities that match the regex) (regex): ^gender
 
Entity (text): customers
Field (text): gender

In the case of using the Data Matcher type, the application will go through all the values and assign the label to those fields:

Name: user/gender
Type: Data Matcher
 
Include (regex): ^(M|F)$
Include (text): M

With this configuration, Gigantc will assign the user/gender label to all fields which contain the value M or M or F.