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

Repeatable Output

Repeatable Output

Repeatable data masking output returns deterministic values. Use repeatable masking when you generate a data masking workflow more than once and you need to return the same masked values each time it runs.
Configure repeatable output if you have the same value in multiple source tables and you want to return the masked value in all of the target tables. The tables in the target database receive consistent masked values.
For example, customer John Smith has two account numbers, 1234 and 5678. The account numbers are in multiple tables. The
Integration Service
masks John Smith as Frank Martinez in all the tables. It always masks account number 1234 as 6549 and account number 5678 as 3214.
You can enter a seed value when you configure repeatable output. You can configure a dictionary file with replacement data values for substitution masking. When you configure repeatable output, TDM returns the same value from the dictionary whenever a specific value appears in the source data.