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

Normalized fields

Normalized fields

Define the fields to be normalized on the
Normalized Fields
tab. You can also include other incoming fields that you want to use in the mapping.
When you define normalized fields, you can create fields manually or select fields from a list of incoming fields. When you create a normalized field, you can set the data type to String or Number, and then define the precision and scale.
In advanced mode, you can use any primitive data type.
In advanced mode, the Normalizer transformation produces multiple output groups. Otherwise, the Normalizer transformation produces only one output group.
When incoming fields include multiple-occurring fields without a corresponding category field, you can create the category field to define the occurs for the data. For example, to represent three fields with different types of income, you can create an Income category field and set the occurs value to 3.

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