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Table of Contents

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  1. Preface
  2. Introduction to Transformations
  3. Transformation Ports
  4. Transformation Caches
  5. Address Validator Transformation
  6. Aggregator Transformation
  7. Association Transformation
  8. Bad Record Exception Transformation
  9. Case Converter Transformation
  10. Classifier Transformation
  11. Comparison Transformation
  12. Consolidation Transformation
  13. Data Masking Transformation
  14. Data Processor Transformation
  15. Decision Transformation
  16. Duplicate Record Exception Transformation
  17. Expression Transformation
  18. Filter Transformation
  19. Hierarchical to Relational Transformation
  20. Java Transformation
  21. Java Transformation API Reference
  22. Java Expressions
  23. Joiner Transformation
  24. Key Generator Transformation
  25. Labeler Transformation
  26. Lookup Transformation
  27. Lookup Caches
  28. Dynamic Lookup Cache
  29. Macro Transformation
  30. Match Transformation
  31. Match Transformations in Field Analysis
  32. Match Transformations in Identity Analysis
  33. Normalizer Transformation
  34. Merge Transformation
  35. Parser Transformation
  36. Python Transformation
  37. Rank Transformation
  38. Read Transformation
  39. Relational to Hierarchical Transformation
  40. REST Web Service Consumer Transformation
  41. Router Transformation
  42. Sequence Generator Transformation
  43. Sorter Transformation
  44. SQL Transformation
  45. Standardizer Transformation
  46. Union Transformation
  47. Update Strategy Transformation
  48. Web Service Consumer Transformation
  49. Parsing Web Service SOAP Messages
  50. Generating Web Service SOAP Messages
  51. Weighted Average Transformation
  52. Window Transformation
  53. Write Transformation
  54. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

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Duplicate Record Exception Mapping

Duplicate Record Exception Mapping

Configure a Duplicate Record Exception mapping that examines customer records and finds duplicate records.
The following figure shows the Duplicate Record Exception mapping:
The figure shows the Customer_Details object linked to the mat_MatchData transformation. The mat_MatchData transformation is linked to the exc_Consolidate transformation. The exc_Consolidate transformation is linked to the Write_GoodMatches_Customer target and the target_CustomerConsolidate target.
The mapping contains the following objects:
Customer_Details
The data source that might contain duplicate records.
mat_MatchData
A Match transformation that examines the customer data to determine if records match. The Match transformation creates a numeric score that represents the degree of similarity between two column values. An algorithm calculates a match score as a decimal value in the range 0 through 1. An algorithm assigns a score of one when two column values are identical.
exc_Consolidate
A Duplicate Record Exception transformation that determines which records are possible duplicate customers, known duplicate customers, or unique customer records.
Write_GoodMatches_Customer table
Table that receives all the records that do not need manual review. The Duplicate Record Exception transformation writes duplicate records and unique records to this table.
Target_CustomerConsolidate table
The Exception transformation writes the possible duplicate records to the Target_CustomerConsolidate table. Records in this table require manual review in the Analyst tool.
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