Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. B2B transformation
  7. Aggregator transformation
  8. Cleanse transformation
  9. Data Masking transformation
  10. Data Services transformation
  11. Deduplicate transformation
  12. Expression transformation
  13. Filter transformation
  14. Hierarchy Builder transformation
  15. Hierarchy Parser transformation
  16. Hierarchy Processor transformation
  17. Input transformation
  18. Java transformation
  19. Java transformation API reference
  20. Joiner transformation
  21. Labeler transformation
  22. Lookup transformation
  23. Machine Learning transformation
  24. Mapplet transformation
  25. Normalizer transformation
  26. Output transformation
  27. Parse transformation
  28. Python transformation
  29. Rank transformation
  30. Router transformation
  31. Rule Specification transformation
  32. Sequence Generator transformation
  33. Sorter transformation
  34. SQL transformation
  35. Structure Parser transformation
  36. Transaction Control transformation
  37. Union transformation
  38. Velocity transformation
  39. Verifier transformation
  40. 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.

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