Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. B2B transformation
  7. Aggregator transformation
  8. Cleanse transformation
  9. Data Masking transformation
  10. Data Services transformation
  11. Deduplicate transformation
  12. Expression transformation
  13. Filter transformation
  14. Hierarchy Builder transformation
  15. Hierarchy Parser transformation
  16. Hierarchy Processor transformation
  17. Input transformation
  18. Java transformation
  19. Java transformation API reference
  20. Joiner transformation
  21. Labeler transformation
  22. Lookup transformation
  23. Machine Learning transformation
  24. Mapplet transformation
  25. Normalizer transformation
  26. Output transformation
  27. Parse transformation
  28. Python transformation
  29. Rank transformation
  30. Router transformation
  31. Rule Specification transformation
  32. Sequence Generator transformation
  33. Sorter transformation
  34. SQL transformation
  35. Structure Parser transformation
  36. Transaction Control transformation
  37. Union transformation
  38. Velocity transformation
  39. Verifier transformation
  40. Web Services transformation

Transformations

Transformations

Data Masking transformation

Data Masking transformation

Use the Data Masking transformation to change sensitive production data to realistic test data for non-production environments. The Data Masking transformation modifies source data based on masking rules that you configure for each column.
Create masked data for software development, testing, training, and data mining. You can maintain data relationships in the masked data and maintain referential integrity between database tables. The Data Masking transformation is a passive transformation.
The Data Masking transformation provides masking rules based on the source data type and masking type you configure for a port. For strings, you can restrict the characters in a string to replace and the characters to apply in the mask. For numbers and dates, you can provide a range of numbers for the masked data. You can configure a range that is a fixed or percentage variance from the original number. The Integration Service replaces characters based on the locale that you configure with the masking rules.
To use the Data Masking transformation, you need the appropriate license.

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