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

Cleanse asset considerations

Cleanse asset considerations

A cleanse asset comprises one or more cleanse instances. Each instance represents one or more input fields for which the asset specifies a set of cleanse operations.
You can add multiple cleanse instances to an asset in Data Quality, so that a Cleanse transformation can apply multiple cleanse operations to different sets of input fields with a single asset.
If you select a cleanse asset that specifies more than one input field, you must understand the asset configuration and know the types of cleanse operation that the asset will perform on each input. The Cleanse transformation does not identify the instance on which each asset input originates. If you define multiple instances on the asset in Data Quality, make a record of the instances to which each input belongs. Use the record as a guide when you connect the asset inputs to the transformation input fields.

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