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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. Macro Transformation
  30. Match Transformation
  31. Match Transformations in Field Analysis
  32. Match Transformations in Identity Analysis
  33. Normalizer Transformation
  34. Merge Transformation
  35. Parser Transformation
  36. Python Transformation
  37. Rank Transformation
  38. Read Transformation
  39. Relational to Hierarchical Transformation
  40. REST Web Service Consumer Transformation
  41. Router Transformation
  42. Sequence Generator Transformation
  43. Sorter Transformation
  44. SQL Transformation
  45. Standardizer Transformation
  46. Union Transformation
  47. Update Strategy Transformation
  48. Web Service Consumer Transformation
  49. Parsing Web Service SOAP Messages
  50. Generating Web Service SOAP Messages
  51. Weighted Average Transformation
  52. Window Transformation
  53. Write Transformation
  54. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

Back Next

Creating a Normalizer Transformation from an Upstream Source

Creating a Normalizer Transformation from an Upstream Source

You can create an empty Normalizer transformation and drag the ports from a source data object or from a transformation into the Normalizer transformation to create input and ports.
  1. Create a mapping that includes the source or transformation to pass the source data to the Normalizer transformation.
  2. To create the Normalizer transformation, select the Normalizer transformation from the Transformation palette and drag the transformation to the editor.
    The Normalizer dialog box appears.
  3. Click
    Finish
     to create an empty transformation.
  4. Select ports from a source or transformation in the mapping and drag them to the Normalizer transformation.
    The input and output ports appear in the Normalizer transformation. The Developer tool creates one input group and one output group.
  5. Open the
    Normalizer
     view to update the default group and organize fields into records as required.
  6. To merge multiple fields into a single multiple-occurring field, select the fields in the
    Normalizer
     view and click the
    Merge
     option.
    Choose a name for the multiple-occurring field.
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