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Table of Contents

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  1. Preface
  2. Working with Transformations
  3. Address Validator Transformation
  4. Aggregator Transformation
  5. Association Transformation
  6. Bad Record Exception Transformation
  7. Case Converter Transformation
  8. Classifier Transformation
  9. Cleanse transformation
  10. Comparison Transformation
  11. Custom Transformation
  12. Custom Transformation Functions
  13. Consolidation Transformation
  14. Data Masking Transformation
  15. Data Masking Examples
  16. Decision Transformation
  17. Duplicate Record Exception Transformation
  18. Dynamic Lookup Cache
  19. Expression Transformation
  20. External Procedure Transformation
  21. Filter Transformation
  22. HTTP Transformation
  23. Identity Resolution Transformation
  24. Java Transformation
  25. Java Transformation API Reference
  26. Java Expressions
  27. Java Transformation Example
  28. Joiner Transformation
  29. Key Generator Transformation
  30. Labeler Transformation
  31. Lookup Transformation
  32. Lookup Caches
  33. Match Transformation
  34. Match Transformations in Field Analysis
  35. Match Transformations in Identity Analysis
  36. Merge Transformation
  37. Normalizer Transformation
  38. Parser Transformation
  39. Rank Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. Source Qualifier Transformation
  44. SQL Transformation
  45. Using the SQL Transformation in a Mapping
  46. Stored Procedure Transformation
  47. Standardizer Transformation
  48. Transaction Control Transformation
  49. Union Transformation
  50. Unstructured Data Transformation
  51. Update Strategy Transformation
  52. Weighted Average Transformation
  53. XML Transformations

Transformation Guide

Transformation Guide

Duplicate Record Exception Transformation Overview

Duplicate Record Exception Transformation Overview

The Duplicate Record Exception transformation is an active transformation that reads the output of a data quality process and identifies duplicate records that require manual review. The Duplicate Record Exception transformation is a multiple-group transformation.
The Duplicate Record Exception transformation receives input from another transformation or from a data object in another mapping. The input to the Exception transformation must contain a numeric match score that the transformation can use to determine if the record is a duplicate. Set an upper and lower match score threshold in the Duplicate Record Exception transformation.
The Duplicate Record Exception transformation performs one of the following actions:
  • If the match score is greater than or equal to the upper threshold, the transformation treats the record as a duplicate and writes it to a database target.
  • If the match score is less than the upper threshold and greater than the lower threshold the transformation treats the record as a possible duplicate and writes it to a the record to a different target for manual review. If the record belongs to a cluster, the transformation writes all records in the cluster to the target.
  • When a cluster has any match score less than the lower threshold, all records in the cluster go to the unique records output group. Clusters of size 1 are routed to the unique group, regardless of match score. By default, the Exception transformation does not write unique records to a target. You can configure the transformation to return the unique records.
  • If any match score in a cluster is not in the range 0 - 100, the Exception transformation ignores all rows in the cluster. The Data Integration Service logs a message that includes the clusterID.

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