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

Dependent Masking

Dependent Masking

Dependent masking substitutes multiple columns of source data with data from the same dictionary row.
When the Data Masking transformation performs substitution masking for multiple columns, the masked data might contain unrealistic combinations of fields. You can configure dependent masking in order to substitute data for multiple input columns from the same dictionary row. The masked data receives valid combinations such as, "New York, New York" or "Chicago, Illinois."
When you configure dependent masking, you first configure an input column for substitution masking. Configure other input columns to be dependent on that substitution column. For example, you choose the ZIP code column for substitution masking and choose city and state columns to be dependent on the ZIP code column. Dependent masking ensures that the substituted city and state values are valid for the substituted ZIP code value.
You cannot configure a column for dependent masking without first configuring a column for substitution masking.
Configure the following masking rules when you configure a column for dependent masking:
Dependent column
The name of the input column that you configured for substitution masking. The Data Masking transformation retrieves substitute data from a dictionary using the masking rules for that column. The column you configure for substitution masking becomes the key column for retrieving masked data from the dictionary.
Output column
The name of the dictionary column that contains the value for the column you are configuring with dependent masking.

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