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

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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