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  • Informatica Data Quality 10.4.1
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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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Match Property Configuration

Match Property Configuration

Use the
Match
 property on the
Match Output
 view to specify how the transformation selects input data for analysis. Configure the property when you configure the Match transformation to read a persistent store of index data. The Match property refines the options that you set on the
Match Type
 view.
You can configure the Match property to perform the following types of analysis:
Compare the data source records with the index data records
To look for duplicate records between the data source and the index data tables, select
Exclusive
.
When you select the Exclusive option, the Match transformation compares the data source records with the index data store. The transformation does not analyze the records within the data source or within the data store.
Select
Exclusive
 when you know that the index data store does not contain duplicate records, and you know that the data source does not contain duplicate records.
Compare the data source records with the index data records, and compare the data source records with each other
To look for duplicates in the data source and to look for duplicates between the data source and the index tables, select
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.
Select
Partial
 when you know that the index data store does not contain duplicate records, but you have not performed any duplicate analysis on the data source.
Compare all records in the data source and the index tables as a single data set
To look for duplicates between the data source and the index tables, and to look for duplicates within the data source and within the index tables, select
Full
. The default option is Full.
The transformation analyzes the data source and the data store as a single data set and compares all record data within the data set.
Select
Full
 when you cannot verify that either data set is free of duplicate records.
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