Table of Contents

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