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. 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

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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