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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

General Properties

General Properties

General properties apply to all token labeling operations you define in the strategy. You use the general properties to name the strategy, specify input and output ports, and specify whether the strategy enables probabilistic matching techniques.
The following table describes the general properties:
Property
Description
Name
Provides a name for the strategy.
Inputs
Identifies the output port that the strategy operations can read.
Outputs
Identifies the output port that the strategy operations can write to.
Description
Describes the strategy. The property is optional.
Use probabilistic matching techniques
Specifies that the strategy can use a probabilistic model to identify token types.
Reverse Enabled
Indicates that the strategy reads input data from right to left. This property is disabled for probabilistic matching.
Delimiters
Specifies the characters that the transformation uses to evaluate substrings in input data. Default is space.
The property is disabled in probabilistic labeling.
Tokenized Output Field
Indicates that the strategy writes multiple labels to an output port. Select this field to create input data for pattern-based parsing in the Parser transformation.
Score Output Field
Identifies the field that contains the score values generated in probabilistic matching. Set the score output field when you select the option to use probabilistic matching techniques.
Output Delimiter
Specifies a character to separate data values on the output port. Default is colon.

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