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. Data Type Reference
  21. Data Type Reference for Test Data Warehouse
  22. Data Type Reference for Hadoop
  23. Glossary

Custom Masking

Custom Masking

Use custom masking when you want to apply multiple masking techniques to a column or when you want to configure multiple input and output columns in the same masking rule. You can mask all data types.
To create a custom masking rule, you must import the mapplets. Set the mapplet input columns and output columns as required. The mapplet must contain at least one input and one output column.
When you assign the custom masking rule to columns, you must map the source columns to the columns in the custom masking rule.