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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

Decision Transformation Overview

Decision Transformation Overview

The Decision transformation is a passive transformation that evaluates conditions in input data and creates output based on the results of those conditions.
Configure a Decision transformation to generate different values based on the values found in input fields. For example, if customer revenue is greater than a specific amount, you can add the string "Priority" to the customer name.
You can add multiple decision strategies to the Decision transformation. Each strategy evaluates an
IF-THEN-ELSE
conditional statement. Within this statement, you can use
ELSEIF
conditions or nest additional
IF-THEN-ELSE
statements.
The Decision transformation is similar to the Expression transformation in that it allows you to use conditional statements and functions to test source data. However, the Decision transformation is different from the Expression transformation in the following ways:
  • The Decision transformation uses
    IF-THEN-ELSE
    statements to evaluate conditions. The Expression transformation uses
    IIF
    statements.
  • The Decision transformation contains functions that are not available in the Expression transformation.
  • Each decision strategy can generate multiple outputs.

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