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  • Informatica Data Quality 10.4.0
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Table of Contents

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  1. Preface
  2. Introduction to Transformations
  3. Transformation Ports
  4. Transformation Caches
  5. Address Validator Transformation
  6. Aggregator Transformation
  7. Association Transformation
  8. Bad Record Exception Transformation
  9. Case Converter Transformation
  10. Classifier Transformation
  11. Comparison Transformation
  12. Consolidation Transformation
  13. Data Masking Transformation
  14. Data Processor Transformation
  15. Decision Transformation
  16. Duplicate Record Exception Transformation
  17. Expression Transformation
  18. Filter Transformation
  19. Hierarchical to Relational Transformation
  20. Java Transformation
  21. Java Transformation API Reference
  22. Java Expressions
  23. Joiner Transformation
  24. Key Generator Transformation
  25. Labeler Transformation
  26. Lookup Transformation
  27. Lookup Caches
  28. Dynamic Lookup Cache
  29. Match Transformation
  30. Match Transformations in Field Analysis
  31. Match Transformations in Identity Analysis
  32. Normalizer Transformation
  33. Merge Transformation
  34. Parser Transformation
  35. Python Transformation
  36. Rank Transformation
  37. Read Transformation
  38. Relational to Hierarchical Transformation
  39. REST Web Service Consumer Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. SQL Transformation
  44. Standardizer Transformation
  45. Union Transformation
  46. Update Strategy Transformation
  47. Web Service Consumer Transformation
  48. Parsing Web Service SOAP Messages
  49. Generating Web Service SOAP Messages
  50. Weighted Average Transformation
  51. Window Transformation
  52. Write Transformation
  53. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

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Masking String Values

Masking String Values

You can configure key masking in order to generate repeatable output for strings. Configure a mask format to define limitations for each character in the output string. Configure source string characters that define which source characters to mask. Configure result string replacement characters to limit the masked data to certain characters.
You can configure the following masking rules for key masking strings:
Seed
Apply a seed value to generate deterministic masked data for a column. You can enter a number between 1 and 1,000.
Mask Format
Define the type of character to substitute for each character in the input data. You can limit each character to an alphabetic, numeric, or alphanumeric character type.
Source String Characters
Define the characters in the source string that you want to mask. For example, mask the number sign (#) character whenever it occurs in the input data. The Data Masking transformation masks all the input characters when Source String Characters is blank. The Data Masking transformation does not always return unique data if the number of source string characters is less than the number of result string characters.
Result String Characters
Substitute the characters in the target string with the characters you define in Result String Characters. For example, enter the following characters to configure each mask to contain all uppercase alphabetic characters: 
ABCDEFGHIJKLMNOPQRSTUVWXYZ
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