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

Cleanse transformation

Cleanse transformation

The Cleanse transformation adds a cleanse asset that you created in
Data Quality
to a mapping. A cleanse asset is a set of data transformation operations that standardize the form and content of your data.
You add a single cleanse asset to a Cleanse transformation. You can map one or more input fields to a cleanse asset.
A cleanse asset can perform one or more of the following operations:
  • Change the character case of the input data.
  • Remove leading and trailing spaces from input data.
  • Remove values from the input data.
  • Find and replace values in the input data.
  • Merge the cleansed data from two or more input fields into a single new output field.
You can configure multiple operations in a cleanse asset, and you can add any type of operation to the asset multiple times. The mapping performs the operations on an input data field in a sequence that you define, so that a single cleanse asset can specify multiple changes to the input field data.
A Cleanse transformation is similar to a Mapplet transformation, as it allows you to add data transformation logic that you designed elsewhere to a mapping. Like mapplets, cleanse assets are reusable assets.
A Cleanse transformation does not display the logic that the cleanse asset contains or allow you to edit the cleanse asset. To edit the cleanse asset, open it in
Data Quality
.

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