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Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Aggregator transformation
  6. Expression transformation
  7. Filter transformation
  8. Input transformation
  9. Joiner transformation
  10. Lookup transformation
  11. Mapplet transformation
  12. Normalizer transformation
  13. Output transformation
  14. Rank transformation
  15. Router transformation
  16. Sequence transformation
  17. Sorter transformation
  18. SQL transformation
  19. Union 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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