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

Normalizer transformation

Normalizer transformation

The Normalizer transformation is an active transformation that transforms one incoming row into multiple output rows. The transformation processes multiple-occurring fields or multiple-occurring groups of fields in each source row, and returns a row for each instance of the multiple-occurring data.
For example, a relational source includes four fields with quarterly sales data. You can configure a Normalizer transformation to generate a separate output row for each quarter.
When the Normalizer transformation returns multiple rows from an incoming row, it returns duplicate data for single-occurring incoming columns.
When you configure a Normalizer transformation, you define Normalizer properties on the following tabs of the
Properties
panel:
  • Normalized Fields
    tab. Define the multiple-occurring fields and multiple-occuring groups of fields, and specify additional fields that you want to use in the mapping.
  • Field Mapping
    tab. Connect the incoming fields to the normalized fields.

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