Table of Contents

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

Transformations

Transformations

Unique substitution

Unique substitution

Unique substitution masking ensures that each unique source value uses a unique dictionary value.
To mask a source value with a unique dictionary value, you can configure unique substitution masking. If a source value is masked with a specific dictionary value, then no other source value is masked with this dictionary value.
For example, the Name column in the source data contains multiple entries of
John
. If you configure repeatable masking, every entry of
John
takes the same dictionary value, such as
Xyza
. However, other source values might also be masked with the same dictionary value. A source entry
Jack
can also use the dictionary value
Xyza
. As a result, all entries of John and Jack use the same dictionary value. When you configure unique substitution masking, if all source values of
John
use the
Xyza
dictionary value, then no other source value uses the same dictionary value.
Unique substitution masking requires a storage connection for the storage tables. Storage tables contain the source to dictionary value mapping information required for unique substitution masking.
If the source data contains more unique values than the dictionary, the masking fails because there are not enough unique dictionary values to mask all the source data.

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