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. 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

Email masking

Email masking

The Data Masking transformation returns an email address of random characters when it masks an email address.
For example, the Data Masking transformation can mask
Georgesmith@yahoo.com
as
KtrIupQAPyk@vdSKh.BICJ
.
When you use the email masking format, you must set the seed value. The seed value is a random number from 1 through 999 and is a starting point to generate masked values. You can enter a different seed value. Apply the same seed value to a column to return the same masked data values in different source data. For example, you have the same Cust_ID column in four tables. You want all of them to output the same masked values. Set all four columns to the same seed value.