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  • Informatica Data Quality 10.4.1
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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. Macro Transformation
  30. Match Transformation
  31. Match Transformations in Field Analysis
  32. Match Transformations in Identity Analysis
  33. Normalizer Transformation
  34. Merge Transformation
  35. Parser Transformation
  36. Python Transformation
  37. Rank Transformation
  38. Read Transformation
  39. Relational to Hierarchical Transformation
  40. REST Web Service Consumer Transformation
  41. Router Transformation
  42. Sequence Generator Transformation
  43. Sorter Transformation
  44. SQL Transformation
  45. Standardizer Transformation
  46. Union Transformation
  47. Update Strategy Transformation
  48. Web Service Consumer Transformation
  49. Parsing Web Service SOAP Messages
  50. Generating Web Service SOAP Messages
  51. Weighted Average Transformation
  52. Window Transformation
  53. Write Transformation
  54. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

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Mask Format

Mask Format

Configure a mask format to limit each character in the output column to an alphabetic, numeric, or alphanumeric character. Use the following characters to define a mask format: 
A, D, N, X, +, R
The mask format contains uppercase characters. When you enter a lowercase mask character, the Data Masking transformation converts the character to uppercase.
The following table describes mask format characters:
Character
Description
A
Alphabetical characters. For example, ASCII characters a to z and A to Z.
D
Digits 0 to 9. The data masking transformation returns an "X" for characters other than digits 0 to 9.
N
Alphanumeric characters. For example, ASCII characters a to z, A to Z, and 0-9.
X
Any character. For example, alphanumeric or symbol.
+
No masking.
R
Remaining characters. R specifies that the remaining characters in the string can be any character type. R must appear as the last character of the mask.
For example, a department name has the following format: 
nnn-<department_name>
You can configure a mask to force the first three characters to be numeric, the department name to be alphabetic, and the dash to remain in the output. Configure the following mask format: 
DDD+AAAAAAAAAAAAAAAA
The Data Masking transformation replaces the first three characters with numeric characters. It does not replace the fourth character. The Data Masking transformation replaces the remaining characters with alphabetical characters.
If you do not define a mask format, the Data Masking transformation replaces each source character with any character. If the mask format is longer than the input string, the Data Masking transformation ignores the extra characters in the mask format. If the mask format is shorter than the source string, the Data Masking transformation masks the remaining characters with format R.
You cannot configure a mask format with the range option.
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