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

Substitution Masking Properties

Substitution Masking Properties

You can configure the following masking rules for substitution masking:
  • Repeatable Output
    . Returns deterministic results between sessions. The Data Masking transformation stores masked values in the storage table.
  • Seed
    . Apply a seed value to generate deterministic masked data for a column. Select one of the following options:
    • Value
      . Accept the default seed value or enter a number between 1 and 1,000.
    • Mapping Parameter
      . Use a mapping parameter to define the seed value. The Designer displays a list of the mapping parameters that you create for the mapping. Choose the mapping parameter from the list to use as the seed value.
    • Unique Output
      . Force the Data Masking transformation to create unique output values for unique input values. No two input values are masked to the same output value. The dictionary must have enough unique rows to enable unique output.
      When you disable unique output, the Data Masking transformation might not mask input values to unique output values. The dictionary might contain fewer rows.
    • Unique Key Column
      . The source column on which the masking technique is applied.
    • Optimize Dictionary Usage
      . Applicable if you select the
      Repeatable Output
      option. Increases the usage of masked values from a dictionary.
  • Dictionary Information
    . Configure the flat file or relational table that contains the substitute data values.
    • Relational Table
      . Select Relational Table if the dictionary is in a database table. Click Select Table to configure the database and table.
    • Flat File
      . Select Flat File if the dictionary is in flat file delimited by commas. Click Select Flat File to browse for and choose a file.
    • Dictionary Name
      . Displays the flat file or relational table name that you selected.
    • Output Column
      . Choose the column to return to the Data Masking transformation.
    • Sort Column
      . The dictionary column on which you want to sort entries. Specify a sort column to generate deterministic results even if the order of entries in the dictionary changes. For example, if you move a relational dictionary and the order of entries changes, sort on the serial number column to consistently mask the data.
      The column that you choose must contain unique values. You cannot use a column that might contain duplicate values to sort the data.
  • Lookup condition.
    Configure a lookup condition to further qualify what dictionary row to use for substitution masking. The lookup condition is similar to the WHERE clause in an SQL query. When you configure a lookup condition you compare the value of a column in the source with a column in the dictionary.
    For example, you want to mask the first name. The source data and the dictionary have a first name column and a gender column. You can add a condition that each female first name is replaced with a female name from the dictionary. The lookup condition compares gender in the source to gender in the dictionary.
    • Input port
      . Source data column to use in the lookup.
    • Dictionary column
      . Dictionary column to compare the input port to.

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