Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Aggregator transformation
  6. Cleanse transformation
  7. Data Masking transformation
  8. Data Services transformation
  9. Deduplicate transformation
  10. Expression transformation
  11. Filter transformation
  12. Hierarchy Builder transformation
  13. Hierarchy Parser transformation
  14. Hierarchy Processor transformation
  15. Input transformation
  16. Java transformation
  17. Java transformation API reference
  18. Joiner transformation
  19. Labeler transformation
  20. Lookup transformation
  21. Machine Learning transformation
  22. Mapplet transformation
  23. Normalizer transformation
  24. Output transformation
  25. Parse transformation
  26. Python transformation
  27. Rank transformation
  28. Router transformation
  29. Rule Specification transformation
  30. Sequence Generator transformation
  31. Sorter transformation
  32. SQL transformation
  33. Structure Parser transformation
  34. Transaction Control transformation
  35. Union transformation
  36. Velocity transformation
  37. Verifier transformation
  38. Web Services transformation

Transformations

Transformations

Repeatable output

Repeatable output

Repeatable output is the consistent set of values that the Data Masking transformation returns.
Repeatable output returns deterministic values. For example, you configure repeatable output for a column of first names. The Data Masking transformation returns the same masked value every time the same name appears in the workflow.
You can configure repeatable masking when you use the Random masking technique, Substitution masking technique, or the special mask formats for string data type. Select
Repeatable
and enter the seed value to configure repeatable masking.
You cannot configure repeatable output for the Key masking technique.

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