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  • Informatica Data Quality 10.4.0
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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. Match Transformation
  30. Match Transformations in Field Analysis
  31. Match Transformations in Identity Analysis
  32. Normalizer Transformation
  33. Merge Transformation
  34. Parser Transformation
  35. Python Transformation
  36. Rank Transformation
  37. Read Transformation
  38. Relational to Hierarchical Transformation
  39. REST Web Service Consumer Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. SQL Transformation
  44. Standardizer Transformation
  45. Union Transformation
  46. Update Strategy Transformation
  47. Web Service Consumer Transformation
  48. Parsing Web Service SOAP Messages
  49. Generating Web Service SOAP Messages
  50. Weighted Average Transformation
  51. Window Transformation
  52. Write Transformation
  53. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

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Match Transformation

Match Transformation

The Match transformation receives the customer data and performs an identity match.
Configure the Match transformation for the Clusters-Match All output type. The Match transformation returns matching records in clusters. Each record in a cluster must match at least one other record in the cluster with a score greater than or equal to the match threshold. The match threshold is .75.
Select the Division matching strategy on the Match transformation
Strategies
 tab. The Division strategy is a predefined matching strategy that identifies an organization based on the address fields. On the Match transformation
Strategies
 tab, choose the input ports to examine in a match. Configure the strategy weight as .5.
The following figure shows the Division strategy configuration for the Match transformation:
The figure shows the following fields: the match strategy is Division. The custom name for the match strategy is Division1. The weight is .5. The match fields include ADDR1_1, ADDR1_2, Company_2, ADDR2_1, ADDR2_2. The properties are Population: USA, match level: TYPICAL.
The Match transformation adds cluster information to each output record. The transformation also adds a unique RowID to each record.
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