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  • Informatica Data Quality 10.4.0
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Table of Contents

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  1. Preface
  2. Introduction to Transformations
  3. Transformation Ports
  4. Transformation Caches
  5. Address Validator Transformation
  6. Aggregator Transformation
  7. Association Transformation
  8. Bad Record Exception Transformation
  9. Case Converter Transformation
  10. Classifier Transformation
  11. Comparison Transformation
  12. Consolidation Transformation
  13. Data Masking Transformation
  14. Data Processor Transformation
  15. Decision Transformation
  16. Duplicate Record Exception Transformation
  17. Expression Transformation
  18. Filter Transformation
  19. Hierarchical to Relational Transformation
  20. Java Transformation
  21. Java Transformation API Reference
  22. Java Expressions
  23. Joiner Transformation
  24. Key Generator Transformation
  25. Labeler Transformation
  26. Lookup Transformation
  27. Lookup Caches
  28. Dynamic Lookup Cache
  29. Match Transformation
  30. Match Transformations in Field Analysis
  31. Match Transformations in Identity Analysis
  32. Normalizer Transformation
  33. Merge Transformation
  34. Parser Transformation
  35. Python Transformation
  36. Rank Transformation
  37. Read Transformation
  38. Relational to Hierarchical Transformation
  39. REST Web Service Consumer Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. SQL Transformation
  44. Standardizer Transformation
  45. Union Transformation
  46. Update Strategy Transformation
  47. Web Service Consumer Transformation
  48. Parsing Web Service SOAP Messages
  49. Generating Web Service SOAP Messages
  50. Weighted Average Transformation
  51. Window Transformation
  52. Write Transformation
  53. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

Back Next

Creating a Normalizer Transformation

Creating a Normalizer Transformation

You can create a reusable or non-reusable Normalizer transformation. Reusable transformations can exist in multiple mappings. Non-reusable transformations exist within a single mapping.
  1. To create a transformation, use one of the following methods:
    Option
    Description
    Reusable
    Select a project or folder in the
    Object Explorer
     view. Click
    File
    New
    Transformation
    . Select the Normalizer transformation and click
    Next
    .
    Non-reusable
    In a mapping or mapplet, drag a Normalizer transformation from the
    Transformation
     palette to the editor. You can drag ports from source data objects or from transformations in the mapping to define the transformation.
    The
    New Normalizer Transformation
     wizard appears.
  2. Enter a name for the transformation.
  3. Click
    Next
    .
    The
    Normalizer Definition
     page appears.
  4. To add a record, click the
    New
     button and then select
    Record
    .
  5. To add a field, click the
    New
     button and then select
    Field
    .
    To add a field to a record, you must select the record before you add the field.
  6. Optionally, double-click the value in the
    Occurs
     column to change the occurrence of a field or record.
  7. Click
    Next
    .
    The
    Normalizer Ports
     page appears.
  8. To add an output group, click the
    New
     button and then select
    New Output Group
    .
  9. To edit an output group, select the output group that you want to edit. Click the
    New
     button and then select
    Edit Output Group
    .
  10. Click
    Finish
    .
    The transformation appears in the editor.
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