Table of Contents

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

Transformations

Transformations

Masking techniques

Masking techniques

The masking technique is the type of data masking to apply to a selected column.
Select one of the following masking techniques:
Credit Card masking
Applies a credit card mask format to columns of string data type that contain credit card numbers.
Email masking
Applies an email mask format to columns of string data type that contain email addresses.
Advanced Email Masking
Masks an email address with a realistic email address from a first name, last name, and a domain name. You can mask the string data type.
IP Address masking
Applies an IP address mask format to columns of string data type that contain IP addresses.
Key masking
Produces deterministic results for the same source data and seed value. You can apply key masking to datetime, string, and numeric data types.
Phone masking
Applies a phone number mask format to columns of string data type that contain phone numbers.
Random masking
Produces random results for the same source data and mask format. You can apply random masking to datetime, string, and numeric data types.
SIN masking
Applies a Social Insurance number mask format to columns of string data type that contain Social Insurance numbers.
SSN masking
Applies a Social Security number mask format to columns of string data type that contain Social Security numbers.
Custom Substitution masking
Replaces a column of data with similar but unrelated data from a custom dictionary. You can apply custom substitution masking to columns with string data type.
Dependent masking
Replaces a field value with a value from a custom dictionary based on the values returned from the dictionary for another input column. You can mask the string data type.
Substitution masking
Replaces a column of data with similar but unrelated data from a default dictionary. You can apply substitution masking to columns with string data type.
URL masking
Applies a URL mask format to columns of string data type that contain URLs.

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