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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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Advanced Email Masking

Advanced Email Masking

With the advanced email masking type, you can mask the email address with another realistic email address. The Data Masking transformation creates the email address from the dictionary columns or from the transformation output ports.
You can create the local part in the email address from mapping output ports. Or you can create the local part in the email address from relational table or flat file columns.
The Data Masking transformation can create the domain name for the email address from a constant value or from a random value in the domain dictionary.
You can create an advanced email masking based on the following options:
Email Address Based on Dependent Ports
You can create an email address based on the Data Masking transformation output ports. Select the transformation output ports for the first name and the last name column. The Data Masking transformation masks the first name, the last name, or both names based on the values you specify for the first and last name length.
Email Address Based on a Dictionary
You can create an email address based on the columns from a dictionary. Select a reference table as the source for the dictionary.
Select the dictionary columns for the first name and the last name. The Data Masking transformation masks the first name, the last name, or both names based on the values you specify for the first and last name length.
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