Table of Contents


  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Aggregator transformation
  6. Cleanse transformation
  7. Data Masking transformation
  8. Data Services transformation
  9. Deduplicate transformation
  10. Expression transformation
  11. Filter transformation
  12. Hierarchy Builder transformation
  13. Hierarchy Parser transformation
  14. Hierarchy Processor transformation
  15. Input transformation
  16. Java transformation
  17. Java transformation API reference
  18. Joiner transformation
  19. Labeler transformation
  20. Lookup transformation
  21. Machine Learning transformation
  22. Mapplet transformation
  23. Normalizer transformation
  24. Output transformation
  25. Parse transformation
  26. Python transformation
  27. Rank transformation
  28. Router transformation
  29. Rule Specification transformation
  30. Sequence Generator transformation
  31. Sorter transformation
  32. SQL transformation
  33. Structure Parser transformation
  34. Transaction Control transformation
  35. Union transformation
  36. Velocity transformation
  37. Verifier transformation
  38. Web Services transformation





Define a range for numeric or datetime data. When you define a range for numeric or date values, the Data Masking transformation masks the source data with a value between the minimum and maximum values.

Numeric Range

Set the minimum and maximum values for a numeric column. The maximum value must be less than or equal to the field precision. The default range is from one to the field precision length.

Date Range

Set minimum and maximum values for a datetime value. The minimum and maximum fields contain the default minimum and maximum dates. The default datetime format is MM/DD/YYYY HH24:MI:SS. The maximum datetime must be later than the minimum datetime.


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