Table of Contents

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  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

Transformations

Transformations

Random masking

Random masking

Random masking generates random nondeterministic masked data.
The Data Masking transformation returns different values when the same source value occurs in different rows. You can configure masking rules that affect the format of data that the Data Masking transformation returns.
You can mask datetime, numeric, and string values with random masking.
To mask date values with random masking, either configure a range of output dates or choose a variance. When you configure a variance, choose a part of the date to blur. Choose the year, month, day, hour, minute, or second. The Data Masking transformation returns a date that is within the range you configure.
When you mask numeric data, you can configure a range of output values for a column. The Data Masking transformation returns a value between the minimum and maximum values of the range based on field precision. To define the range, configure the minimum and maximum ranges or configure a blurring range based on a variance from the original source value.
Configure random masking to generate random output for string columns. To configure limitations for each character in the output string, configure a mask format. Configure source and target filter characters to define which source characters to mask and the characters to mask them with.

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