Table of Contents

Search

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