Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. Aggregator transformation
  7. B2B transformation
  8. Cleanse transformation
  9. Data Masking transformation
  10. Data Services transformation
  11. Deduplicate transformation
  12. Expression transformation
  13. Filter transformation
  14. Hierarchy Builder transformation
  15. Hierarchy Parser transformation
  16. Hierarchy Processor transformation
  17. Input transformation
  18. Java transformation
  19. Java transformation API reference
  20. Joiner transformation
  21. Labeler transformation
  22. Lookup transformation
  23. Machine Learning transformation
  24. Mapplet transformation
  25. Normalizer transformation
  26. Output transformation
  27. Parse transformation
  28. Python transformation
  29. Rank transformation
  30. Router transformation
  31. Rule Specification transformation
  32. Sequence transformation
  33. Sorter transformation
  34. SQL transformation
  35. Structure Parser transformation
  36. Transaction Control transformation
  37. Union transformation
  38. Velocity transformation
  39. Verifier transformation
  40. Web Services transformation

Transformations

Transformations

Example

Example

Consider the following example:
The source data contains
First Name
and
Last Name
columns that you need to mask to ensure that you mask the full name in the target data.
You can use the following methods to generate the masked output:
  • Run a
    masking
    task on
    Informatica Intelligent Cloud Services
    .
  • Run a
    mapping
    task that contains a data masking transformation on
    Informatica Intelligent Cloud Services
    .
  • Run a mapping that contains a data masking transformation on
    Informatica Intelligent Cloud Services
  • Run a data masking plan in Test Data Management.
  • Run a PowerCenter mapping that contains a data masking transformation.
Perform the following high-level tasks to generate the masked output:
  1. Use the Substitution Name masking rule to mask the
    First Name
    column. Set the Repeatable option to ON. Enter a seed value.
  2. Use the Substitution Last Name masking rule to mask the
    Last Name
    column. Set the Repeatable option to ON. Enter a seed value.
  3. Use the default dictionaries available with the setup. Do not make changes to the dictionaries.
When you run the
masking
task, mapping, or
mapping
task on
Informatica Intelligent Cloud Services
, Test Data Management workflow, or PowerCenter mapping to generate output, you generate the same masked output for the same source data.

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