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. 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

Normalizer transformation

Normalizer transformation

The Normalizer transformation is an active transformation that transforms one incoming row into multiple output rows. When the Normalizer transformation receives a row that contains multiple-occurring data, it 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 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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