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. Data Subset
  8. Data Masking
  9. Data Masking Techniques and Parameters
  10. Data Generation
  11. Data Generation Techniques and Parameters
  12. Data Sets
  13. Plans and Workflows
  14. Monitor
  15. Reports
  16. ilmcmd
  17. tdwcmd
  18. tdwquery
  19. Data Type Reference
  20. Data Type Reference for Test Data Warehouse
  21. Data Type Reference for Hadoop
  22. Glossary

Standard Masking Rules

Standard Masking Rules

A standard masking rule is a data masking rule that applies a built-in masking technique. A standard masking rule has one input column and one output column.
When you create a standard masking rule, you select the masking technique from a list. You can define one masking technique in a standard masking rule and you can apply the rule to one column.
Test Data Manager has masking techniques that you can select to create masking rules. You can use standard masking techniques based on the source datatype and masking type that you configure for a column. You can restrict the characters in a string to replace and the characters to apply in the mask. When you mask numbers and dates, you can provide a range of numbers for the masked data. You can configure a range that is a fixed or percentage variance from the original number.