Table of Contents

Search

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

0 COMMENTS

We’d like to hear from you!