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

Labeler transformation output fields

Labeler transformation output fields

A Labeler transformation creates one or more output fields to contain the outcome of the labeling operation. The number of fields depends on whether the labeler asset in the transformation specifies a token labeling or character labeling operation. View the output fields on the
Output Fields
tab of the
Properties
panel. The tab displays the name, type, precision, and scale of the output fields.

Token labeling output

The Labeler transformation creates the following output fields in token labeling mode:
LabeledOutput
A copy of the input field data in which any value that matches the labeling criteria is replaced with the label that the asset specifies.
TokenizedData
A copy of the input field data. If the labeler asset reads a dictionary, the transformation may replace any input value that matches a dictionary value with an alternative value from the dictionary. A Data Quality user can configure the labeler asset to replace the input values with the alternative values.
The transformation copies any value in the input field that the labeling operation does not identify to each output field.

Character labeling output

The Labeler transformation creates the following output field in character labeling mode:
LabeledOutput
A copy of the input field data in which any character that matches the labeling criteria is replaced with the label that the asset specifies.
The field can contain character labels and characters from the input data to which a label does not apply.