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  • Data Integration
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Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. B2B transformation
  7. Aggregator 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 Generator 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

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Cleanse transformation configuration

Cleanse transformation configuration

When you configure a Cleanse transformation in a mapping, you first select the cleanse asset that contains the logic to include in the transformation. Next, you map one or more incoming fields on the transformation to target fields that cleanse asset specifies.
The steps to configure the transformation depend on the number of inputs that the cleanse asset specifies.
To configure the transformation, complete the following tasks:
  1. Connect the Cleanse transformation to a Source transformation or other upstream object.
  2. On the
    Cleanse
     tab, select the cleanse asset that you want to include in the transformation.
    You can select a cleanse asset that contains a single input or multiple inputs.
    • If you include a cleanse asset that contains a single input, you can select one or more fields from upstream objects as inputs. To map the fields to the cleanse asset, click
      Add
      .
      The following image shows the options that you use to select the cleanse asset and add the input fields:
      The image shows the Cleanse tab of the transformation. The tab properties include a Select button that adds a cleanse asset to the transformation and an Add button that adds input fields that you can map to the asset.
    • If you include a cleanse asset that contains multiple inputs, the Add option does not appear on the Cleanse tab. Use the Field Mapping tab options to connect the transformation input fields to the asset.
  3. On the
    Incoming Fields
     tab, verify the incoming fields.
    By default, the transformation inherits all incoming fields from any connected upstream object in the mapping. You can define a field rule to limit or rename the incoming fields.
  4. On the
    Field Mapping
     tab, connect one or more input fields on the transformation to the asset. If the cleanse asset specifies a single input, Data Integration automatically links the incoming fields with the target field. If the cleanse asset specifies multiple inputs, link the incoming fields to the fields manually.
    The cleanse asset input names might reflect the names of the transformation input fields. If so, you can use the
    Automap
     options to connect the fields.
    The following image shows the options that you can use to map the input fields in the transformation:
    The image shows the Field Mapping tab of the Cleanse transformation. Use the field mapping options to identify one or more incoming fields that the transformation will read and the target fields that will carry the outcome of the cleansing operation.
  5. Verify the output field properties on the
    Output Fields
     tab.
  6. You can optionally rename the Cleanse transformation and add a description on the
    General
     tab. You can also update the tracing level for the transformation on the
    Advanced
     tab. The default tracing level is Normal.
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