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  • Cloud Data Integration for PowerCenter
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Table of Contents

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  1. Preface
  2. Working with Transformations
  3. Address Validator Transformation
  4. Aggregator Transformation
  5. Association Transformation
  6. Bad Record Exception Transformation
  7. Case Converter Transformation
  8. Classifier Transformation
  9. Cleanse transformation
  10. Comparison Transformation
  11. Custom Transformation
  12. Custom Transformation Functions
  13. Consolidation Transformation
  14. Data Masking Transformation
  15. Data Masking Examples
  16. Decision Transformation
  17. Duplicate Record Exception Transformation
  18. Dynamic Lookup Cache
  19. Expression Transformation
  20. External Procedure Transformation
  21. Filter Transformation
  22. HTTP Transformation
  23. Identity Resolution Transformation
  24. Java Transformation
  25. Java Transformation API Reference
  26. Java Expressions
  27. Java Transformation Example
  28. Joiner Transformation
  29. Key Generator Transformation
  30. Labeler Transformation
  31. Lookup Transformation
  32. Lookup Caches
  33. Match Transformation
  34. Match Transformations in Field Analysis
  35. Match Transformations in Identity Analysis
  36. Merge Transformation
  37. Normalizer Transformation
  38. Parser Transformation
  39. Rank Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. Source Qualifier Transformation
  44. SQL Transformation
  45. Using the SQL Transformation in a Mapping
  46. Stored Procedure Transformation
  47. Standardizer Transformation
  48. Transaction Control Transformation
  49. Union Transformation
  50. Unstructured Data Transformation
  51. Update Strategy Transformation
  52. Weighted Average Transformation
  53. XML Transformations

Transformation Guide

Transformation Guide

Back Next

Creating an Unstructured Data Transformation

Creating an Unstructured Data Transformation

Use the PowerCenter Transformation Developer or the Mapping Designer to create an Unstructured Data transformation.
  1. In the Mapping Designer or Transformation Developer, click
    Transformation
    Create
    .
  2. Select
    Unstructured Data Transformation
     as the transformation type.
  3. Enter a name for the transformation.
  4. Click
    Create
    .
    The
    Unstructured Data Transformation
     dialog box appears.
  5. Configure the following properties:
    Property
    Description
    Service Name
    Name of the
    Data Transformation
     service you want to use. The Designer displays the
    Data Transformation
     services in the
    Data Transformation
     repository folder. Do not choose a name if you plan to enable dynamic service names. You can add a service name on the UDT Settings tab after you create the transformation.
    Input Type
    Describes how
    Data Transformation
     Engine receives input data. Default is Buffer.
    Output Type
    Describes how
    Data Transformation
     Engine returns output data. Default is Buffer.
  6. Click
    OK
    .
  7. You can change the service name, input, and output type on the
    UDT Settings
     tab.
  8. Configure the Unstructured Data transformation properties on the
    Properties
     tab.
  9. If the
    Data Transformation
     service has more than one input or output file, or if it requires input parameters, you can add ports on the
    UDT Ports
     tab. You can also add pass-through ports on the
    Ports
     tab.
  10. If you want to return row data from the Unstructured Data transformation instead of XML data, create groups of output ports on the
    Relational Hierarchy
     tab.
  11. If you create groups of ports, export the schema that describes them from the
    Relational Hierarchy
     tab.
  12. Import the schema to the
    Data Transformation
     project to define the project output.
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