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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. 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

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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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