Table of Contents

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  1. Preface
  2. Working with Transformations
  3. Aggregator Transformation
  4. Custom Transformation
  5. Custom Transformation Functions
  6. Data Masking Transformation
  7. Data Masking Examples
  8. Expression Transformation
  9. External Procedure Transformation
  10. Filter Transformation
  11. HTTP Transformation
  12. Identity Resolution Transformation
  13. Java Transformation
  14. Java Transformation API Reference
  15. Java Expressions
  16. Java Transformation Example
  17. Joiner Transformation
  18. Lookup Transformation
  19. Lookup Caches
  20. Dynamic Lookup Cache
  21. Normalizer Transformation
  22. Rank Transformation
  23. Router Transformation
  24. Sequence Generator Transformation
  25. Sorter Transformation
  26. Source Qualifier Transformation
  27. SQL Transformation
  28. Using the SQL Transformation in a Mapping
  29. Stored Procedure Transformation
  30. Transaction Control Transformation
  31. Union Transformation
  32. Unstructured Data Transformation
  33. Update Strategy Transformation
  34. XML Transformations

Transformation Guide

Transformation Guide

Repeatable Dependent Masking

Repeatable Dependent Masking

When you configure multiple input fields to receive masked data from the same dictionary row, you need to decide which field to configure for substitution masking. With repeatable masking, select a column that uniquely identifies the source data. The Data Masking transformation uses the key field to determine if a row already exists in storage for repeatable masking.
When the source data has a primary key, you can configure the primary key column for substitution masking. Configure another column for dependent masking.
For example, if you mask employee data, you might configure the EmployeeID for substitution masking, and configure FirstName and LastName for dependent masking.
When you configure repeatable masking, the following rows receive different masked data:
EmployeeID FirstName LastName 111 John Jones 222 Radhika Jones
If you choose LastName as the key field for repeatable dependent masking, each row with the last name Jones receives the same mask data.

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