Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. Aggregator transformation
  7. B2B transformation
  8. Chunking transformation
  9. Cleanse transformation
  10. Data Masking transformation
  11. Data Services transformation
  12. Deduplicate transformation
  13. Expression transformation
  14. Filter transformation
  15. Hierarchy Builder transformation
  16. Hierarchy Parser transformation
  17. Hierarchy Processor transformation
  18. Input transformation
  19. Java transformation
  20. Java transformation API reference
  21. Joiner transformation
  22. Labeler transformation
  23. Lookup transformation
  24. Machine Learning transformation
  25. Mapplet transformation
  26. Normalizer transformation
  27. Output transformation
  28. Parse transformation
  29. Python transformation
  30. Rank transformation
  31. Router transformation
  32. Rule Specification transformation
  33. Sequence transformation
  34. Sorter transformation
  35. SQL transformation
  36. Structure Parser transformation
  37. Transaction Control transformation
  38. Union transformation
  39. Vector Embedding transformation
  40. Velocity transformation
  41. Verifier transformation
  42. 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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