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

Dependent masking

Dependent masking replaces a column of data with values from a custom dictionary that you use to mask data in another column. To use dependent masking, at least one other source column must be masked with a custom substitution rule.
For example, mask a Name column in the source data with a custom substitution rule. Configure the rule to mask the values with values from the Name column in a Personal_Information dictionary.
You can configure dependent masking on another column to mask the source with values from a corresponding column in the same dictionary. For example, apply dependent masking on the Age column. Choose the Name column as the dependent column. You can then select a corresponding column from the Personal_Information dictionary as the dependent output column. If you select the Age column from the dictionary, the masking rule uses the age value that corresponds to the name value.