Table of Contents

Search

  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Aggregator transformation
  6. Cleanse transformation
  7. Data Masking transformation
  8. Deduplicate transformation
  9. Expression transformation
  10. Filter transformation
  11. Hierarchy Builder transformation
  12. Hierarchy Parser transformation
  13. Hierarchy Processor transformation
  14. Input transformation
  15. Java transformation
  16. Java transformation API reference
  17. Joiner transformation
  18. Labeler transformation
  19. Lookup transformation
  20. Mapplet transformation
  21. Normalizer transformation
  22. Output transformation
  23. Parse transformation
  24. Python transformation
  25. Rank transformation
  26. Router transformation
  27. Rule Specification transformation
  28. Sequence Generator transformation
  29. Sorter transformation
  30. SQL transformation
  31. Structure Parser transformation
  32. Transaction Control transformation
  33. Union transformation
  34. Velocity transformation
  35. Verifier transformation
  36. Web Services transformation

Transformations

Transformations

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 to the cleanse asset.
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, and select one or more fields from upstream objects as inputs.
    To select the fields, 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.
  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 each field that you added on the Cleanse tab to a target field on the cleanse asset. By default, Data Integration automatically links the incoming fields with the target field.
    The cleanse asset input name might reflect the name of an input field. 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 field 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.
Synchronizing data quality assets
If you update an asset in
Data Quality
after you add it to a transformation, you may need to synchronize the asset version in the transformation with the latest version.
To synchronize the asset versions, open the transformation in the mapping and select the transformation name in the properties panel. For example, in a Cleanse transformation select
Cleanse
in the properties panel. If synchronization is necessary,
Data Integration
displays a message that prompts you to synchronize the assets.
When you synchronize the asset versions,
Data Integration
may prompt you to propagate the field attributes of the current asset to other assets in the mapping.
Data Integration
may display the prompt if the current asset originates in an earlier version of
Data Quality
.
You select the assets to which to propagate the field attributes. You can select multiple assets and propagate the attributes in a single operation.
Field propagation occurs by default for assets that you create in the current version of
Data Quality
.