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

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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