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

Email Masking General Parameters

Email Masking General Parameters

The following table describes the parameters that define how to mask an email address:
Parameter
Description
Repeatable output
Returns the same masked value when you generate a workflow multiple times, or when you generate masked values for a column that is in multiple tables.
Seed
Starting point for creating repeatable output. Enter a number between 1 and 999. Default is 1.
Standard
Replaces an email string with characters. The standard email masking technique does not create realistic domain or user names.
Advanced
Replaces an email string with name and domain values from a dictionary or mapping.
Columns to form email
Indicates where to retrieve the columns to form the email address. Choose one of the following options:
  • From mapping. Do not use a dictionary for user names. Assign the column names when you assign the rule to source columns.
  • From dictionary. Mask user names from a dictionary file.