Test Data Management 10.1.0
- Test Data Management 10.1.0
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The allocation of rules to a column to mask the column data.
You assign a rule to a column through either a column assignment or a data domain assignment. A column assignment assigns a rule directly to a column in a source. A data domain assignment assigns one or more rules in a data domain to columns in a source.
A sensitive column contains sensitive data. Configure column sensitivity to mark columns that you want to mask.
An object that represents the functional meaning of a column based on the column data or the column name. Use a data domain to filter the ports that you want to mask when you assign a rule to columns. Define patterns in the data or patterns in the column names when you configure a data domain.
Defines data masking operations. A data masking plan indicates
whether to mask data in place in the source database or in stream in a target database.
Defines the data masking rules, the data to mask, and the masking parameters for a source.
Defines the data masking technique, an optional rule qualifier, and masking parameters.
A masking technique defines the logic that is used to mask the data.
Masking parameters define how a masking technique in a rule masks source data.
You can set an override option in a rule that defines whether users can modify the masking parameters for the rule when they assign the rule to columns in a source.
Masks similar columns across tables. You can identify similar columns in a project and configure them to cascade masking rules. Use cascades when some fields are denormalized across multiple tables.