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

Applying Masking Rules

Applying Masking Rules

Apply masking rules based on the source datatype. When you click a column property on the Masking Properties tab, the Designer displays masking rules based on the datatype of the port.
The following table describes the masking rules that you can configure based on the masking type and the source datatype:
Masking Types
Source Datatype
Masking Rules
Description
Random and Key
String
Mask Format
Mask that limits each character in an output string to an alphabetic, numeric, or alphanumeric character.
Random and Key
String
Source String Characters
Set of source characters to mask or to exclude from masking.
Random and Key
String
Result String Replacement Characters
A set of characters to include or exclude in a mask.
Random
Numeric
String
Date/Time
Range
A range of output values.
  • Numeric. The Data Masking transformation returns numeric data between the minimum and maximum values.
  • String. Returns a string of random characters between the minimum and maximum string length.
  • Date/Time. Returns a date and time within the minimum and maximum datetime.
Random
Numeric
Date/Time
Blurring
Range of output values with a fixed or percent variance from the source data. The Data Masking transformation returns data that is close to the value of the source data. Datetime columns require a fixed variance.

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