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

Cleanse transformation output fields

Cleanse transformation output fields

A Cleanse transformation creates the output fields based on the fields that you map in the
Field Mapping
tab. View the output fields on the
Output Fields
tab of the
Properties
panel.
The tab displays the name, type, precision, and scale for the output field. The output field name is the name of the target field appended by the name of the Cleanse transformation. For example, if you have a target field
Person_name
and you entered the name for the Cleanse transformation as
Cleanse_TX
, the operation returns the output field name as
Person_name_Cleanse_TX
.
You cannot edit the output field properties in the Cleanse transformation. To edit the properties, open the cleanse asset in
Data Quality
.