Table of Contents

Search

  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

Match Output Types

Match Output Types

The Match Output view includes options that specify the output data format. You can configure the transformation to write records in clusters or in matched pairs.
Select one of the following match output types:
Best Match
Writes each record in the master data set with the record that represents the best match in the second data set. The match operation selects the record in the second data set that has the highest match score for the master record. If two or more records return the highest score, the match operation selects the first record in the second data set. Best Match writes each pair of records to a single row.
You can select
Best Match
when you configure the transformation for dual-source analysis.
Clusters
Writes clusters that contain sets of records that link to each other with match scores that meet the match threshold. Each record must match at least one other record in the cluster with a score that meets the threshold.
You can select
Clusters
when you configure the transformation for single-source analysis and dual-source analysis.
Matched Pairs
Writes all pairs of records that match each other with a score that meets the match threshold. The transformation writes each pair to a single row and adds the match score for each pair to each row. If a record matches more than one other record, the transformation writes a row for each record pair.
You can select
Matched Pairs
when you configure the transformation for single-source and dual-source analysis.

0 COMMENTS

We’d like to hear from you!