Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. B2B transformation
  7. Aggregator 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 Generator 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

Seed

Seed

The seed value is a starting point to generate masked values.
The Data Masking transformation creates a default seed value that is a random number from 1 through 999. You can enter a different seed value. Apply the same seed value to a column to return the same masked data values in different source data. For example, if you have the same Cust_ID column in four tables, and you want all of them to output the same masked values. You can set all four columns to the same seed value.
You can enter the seed value as a parameter. Seed value parameter names must begin with $$. You can include an underscore (_) in the name but you cannot include other special characters. Add the required parameter and value to the parameter file and specify the parameter file name at run time.
If you enter the seed value as a parameter, you must run the mapping in a mapping task. If you run a mapping that includes a seed value parameter, the mapping uses an incorrect value because it cannot read the parameter value.

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