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. Deduplicate transformation
  9. Expression transformation
  10. Filter transformation
  11. Hierarchy Builder transformation
  12. Hierarchy Parser transformation
  13. Hierarchy Processor transformation
  14. Input transformation
  15. Java transformation
  16. Java transformation API reference
  17. Joiner transformation
  18. Labeler transformation
  19. Lookup transformation
  20. Mapplet transformation
  21. Normalizer transformation
  22. Output transformation
  23. Parse transformation
  24. Python transformation
  25. Rank transformation
  26. Router transformation
  27. Rule Specification transformation
  28. Sequence Generator transformation
  29. Sorter transformation
  30. SQL transformation
  31. Structure Parser transformation
  32. Transaction Control transformation
  33. Union transformation
  34. Velocity transformation
  35. Verifier transformation
  36. Web Services transformation

Transformations

Transformations

Dependent masking parameters

Dependent masking parameters

To apply dependent masking on a source column, at least one column must be masked with a custom substitution rule.
The following table describes the parameters that you can configure for dependent masking:
Property
Description
Dependent Column
The input column configured for custom substitution masking that you want to relate to the source column. Choose a column from the list. Columns that you configure with substitution masking appear in the list.
Dependent Output Column
The dictionary column to use to mask the source data column. Lists the columns in the dictionary used to mask the dependent column. Choose the required column from the list of dictionary columns.