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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

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Configuring a Weighted Average Transformation

Configuring a Weighted Average Transformation

You use the Weighted Average transformation to adjust the overall match score that a mapping generates for a series of match analysis operations. You edit the relative weights of each input port to reflect the priorities of the data comparisons that you defined for the source data set. Each input port on the Weighted Average transformation represents a match score output from a Comparison transformation strategy.
The following steps describe the process to configure a non-reusable Weighted Average transformation in a mapplet or mapping that uses Comparison transformations.
  1. Open a match analysis mapplet or mapping, and add a Weighted Average transformation downstream of the Comparison transformations.
  2. Connect the score output from a Comparison transformation to a Weighted Average input port.
    Repeat this step for other Comparison transformations in the mapplet or mapping.
  3. Select the
    Ports
    tab on the Weighted Average transformation.
  4. Double-click the
    Weight
     field for each input, and enter a weight value between
    0.001
     and
    1
    . The weight value should reflect the relative importance of the input score when compared to other inputs on the transformation.
  5. Save the mapplet or mapping.
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