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

Blurring

Blurring

Blurring creates an output value within a fixed or percent variance from the source data value. Configure blurring to return a random value that is close to the original value. You can blur numeric and date values.
Select a fixed or percent variance to blur a numeric source value. The low bound value is a variance below the source value. The high bound value is a variance above the source value. The low and high values must be greater than or equal to zero. When the Data Masking transformation returns masked data, the numeric data is within the range that you define.
You can mask a date as a variance of the source date by configuring blurring. Select a unit of the date to apply the variance to. You can select the year, month, day, hour, minute, or second. Enter the low and high bounds to define a variance above and below the unit in the source date. The Data Masking transformation applies the variance and returns a date that is within the variance.
For example, to restrict the masked date to a date within two years of the source date, select year as the unit. Enter two as the low and high bound. If a source date is February 2, 2006, the Data Masking transformation returns a date between February 2, 2004, and February 2, 2008.

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