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

Select the Match Output Type

Select the Match Output Type

Use the options on the Match Output view to define the output format for the results of the match analysis
The following image shows the Match Output view for single-source identity analysis:
The Match Output view provides different output options, including options to organize the output records into clusters or matched pairs. The current transformation generates record clusters. You can also select options that determine how the Match transformation generates comparison data for the identity index data store.
You configure the transformation to organize the output records in clusters. Each cluster contains all the records that match at least one other record, based on the match properties that you specify. The match properties determine how the transformation compares the data source records to the index records.
The following table describes the match property options that you specify to analyze the staff record data:
Match Property
Option
Option Description
Match
Partial
The transformation compares the data source records with the index data store. The transformation also compares the records within the data source with each other.
Output
New and Associated Rows
The transformation writes every cluster that contains at least one record from the data source. The clusters can include records from the index data store.
Because a cluster can contain a single record, the output contains all records in the data source.

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