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

Name Substitution Example

Name Substitution Example

You want to mask employee names and you want to preserve the gender and nationality of the names in the masked data.
You create substitution masking rules to mask first names based on gender and nationality. Substitution masking replaces a column of data with similar but unrelated data from a dictionary. You use substitution masking to mask string data with realistic output. You use advanced masking to apply multiple masking techniques to a column.
Complete the following steps to create rules to mask names based on gender and nationality:
  1. Add a dictionary in Test Data Manager.
  2. Create a substitution rule that substitutes first names based on gender.
  3. Create an advanced masking rule to substitute first names based on nationality.