Table of Contents

Search

  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

Substitution Masking

Substitution masking replaces a column of data with similar but unrelated data. Use substitution masking to replace production data with realistic test data. When you configure substitution masking, define the dictionary that contains the substitute values.
The Data Masking transformation performs a lookup on the dictionary that you configure. The Data Masking transformation replaces source data with data from the dictionary. Dictionary files can contain string data, datetime values, integers, and floating point numbers. Enter datetime values in the following format:
mm/dd/yyyy
You can substitute data with repeatable or non-repeatable values. When you choose repeatable values, the Data Masking transformation produces deterministic results for the same source data and seed value. You must configure a seed value to substitute data with deterministic results.The Integration Service maintains a storage table of source and masked values for repeatable masking.
You can substitute more than one column of data with masked values from the same dictionary row. Configure substitution masking for one input column. Configure dependent data masking for the other columns that receive masked data from the same dictionary row.

0 COMMENTS

We’d like to hear from you!