Table of Contents

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  1. Preface
  2. Introduction to Test Data Management
  3. Test Data Manager
  4. Projects
  5. Policies
  6. Data Discovery
  7. Creating a Data Subset
  8. Performing a Data Masking Operation
  9. Data Masking Techniques and Parameters
  10. Data Generation
  11. Data Generation Techniques and Parameters
  12. Working with Test Data Warehouse
  13. Analyzing Test Data with Data Coverage
  14. Plans and Workflows
  15. Monitor
  16. Reports
  17. ilmcmd
  18. tdwcmd
  19. tdwquery
  20. Appendix A: Data Type Reference
  21. Appendix B: Data Type Reference for Test Data Warehouse
  22. Appendix C: Data Type Reference for Hadoop
  23. Appendix D: Glossary

Apply Masking Rules to a Data Domain

Apply Masking Rules to a Data Domain

You can assign one or more data masking rules to the data domain. When you assign a masking rule to a data domain, the columns in the domain receive the data masking rule when you configure data masking.
When you assign data masking rules to the data domain, the rules are called preferred rules. If you assign multiple rules to the data domain, you enable one of the rules to be the default rule. The default rule is applied to all columns in the data domain. You can manually change the masking rule for a column to a different preferred rule. You can also apply more than one masking rule to a column.
For example, an organization has a data domain called Last_Name. The Last_Name data domain describes columns that contain last names in company databases. The company can use a shuffle masking rule to mask the last names of customers in a database. The shuffle masking rule is the default rule. The organization applies a substitution masking technique to mask the last names of customers in a different table. The substitution masking rule is a different preferred masking rule in the data domain.