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

Creating a Data Masking transformation

Creating a Data Masking transformation

Create a Data Masking transformation to mask source data. You can assign masking techniques in the transformation object or enter a mask rule parameter to assign masking techniques when you run the mapping.
Use the Mapping Designer to create a Data Masking transformation. When you create a mapping, a Source transformation and a Target transformation are already on the canvas for you to configure. Configure the Source transformation to represent the source data that you want to mask. Configure the Target transformation to represent the target connection where you want to store the masked data.
  1. Drag a Data Masking transformation from the transformations palette onto the mapping canvas.
  2. Connect the Data Masking transformation object to the data flow.
  3. Select the Data Masking transformation object in the mapping designer.
    The properties appear in the properties tab.
  4. On the
    General
    tab, enter a name and optional description for the transformation object.
  5. On the
    Incoming Fields
    tab, configure the field rules that define the data that you want to copy to the target.
    By default, the transformation includes all fields.
  6. On the
    Masking Rules
    tab, you can configure the following properties:
    • Parameter. To assign masking techniques at run time, add or create another mask rule parameter.
    • Relational Dictionary Connection. To use a relational dictionary for custom substitution masking, choose the dictionary connection from the list of relational connections.
    • Flat File Dictionary Connection. To use a flat file dictionary for custom substitution masking, choose the dictionary connection from the list of flat file connections.
    • Storage Connection. To configure unique substitution masking, choose a storage connection from the list of connections.
    • Add. To configure masking techniques in the mapping, click
      Add
      and select the fields that you want to mask. Click
      Configure
      to select and configure the required masking technique. If you assign a masking technique in the mapping, you cannot edit it at run time.
  7. Select the Target transformation and map the incoming fields to fields in the target.
    By default, the Data Masking transformation adds the prefix "out_ " to fields that you include from the Source transformation object. You cannot use automatic field mapping to map the fields in the Target transformation object because the field names do not match. Rename the incoming field names in the Target transformation if you want to use automatic field mapping. Select the pattern rename option and enter "out_/" as the pattern to delete the prefix.
  8. Save and run the mapping.
    If you use a mask rule parameter in the mapping, you assign and configure the masking techniques when you run the
    mapping
    task.
    The following image shows the second step of a
    mapping
    task that uses a mask rule parameter:
    The image shows the second step in a Mapping task that contains a mask rule parameter. The list of masking techniques is open and the Random masking technique is selected from the list. The Configure button that you use to configure the masking technique is visible.
    If you assign a masking technique to a column in a mapping task and then change the assignment of the column in the mapping, the mapping task configuration takes precedence. If you unselect the rule assignment of the column in the mapping task, then the mapping task uses the masking technique assigned to the column in the mapping.

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