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

Labeler transformation

Labeler transformation

The Labeler transformation adds a labeler asset that you created in
Data Quality
to a mapping.
A labeler asset defines a set of operations that evaluates the types of information in an input field and assigns a label to each type of data that it finds.
When you configure the transformation, you map an input field to a target field that links to the labeler asset. When the mapping runs, the transformation searches the input field for values that match the labeling criteria that the asset defines. The transformation writes the results of the labeling operation to two output fields. For more information about the output fields, see Labeler transformation output fields.
A Labeler 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, labeler assets are reusable assets.
A Labeler transformation shows incoming and outgoing fields. It does not display the logic that the labeler asset contains or allow you to edit the labeler asset. To edit the labeler asset, open it in
Data Quality
.

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