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  • Data Integration
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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

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Configure group by fields

Configure group by fields

For hierarchical output, you can group primitive incoming fields for aggregation to produce one row for each group of input data.
To group fields for aggregation:
  1. Click the
    Group By fields
     icon for the output group or array.
  2. Examine if there is already a grouping present. If it requires any changes, continue with these steps, otherwise you can exit the dialog box.
  3. Click the
    Add New Group by Field
     icon to add a new field for grouping.
  4. Clip the ellipsis icon to select the primitive field to add to the grouping.
  5. Validate the configuration.
  6. Click
    Save
    .
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