Table of Contents

Search

  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. Aggregator transformation
  7. B2B 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 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

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
.

0 COMMENTS

We’d like to hear from you!