Hi, I'm Ask INFA!
What would you like to know?
ASK INFAPreview
Please to access Ask INFA.

Table of Contents

Search

  1. Preface
  2. Working with Transformations
  3. Address Validator Transformation
  4. Aggregator Transformation
  5. Association Transformation
  6. Bad Record Exception Transformation
  7. Case Converter Transformation
  8. Classifier Transformation
  9. Cleanse transformation
  10. Comparison Transformation
  11. Custom Transformation
  12. Custom Transformation Functions
  13. Consolidation Transformation
  14. Data Masking Transformation
  15. Data Masking Examples
  16. Decision Transformation
  17. Duplicate Record Exception Transformation
  18. Dynamic Lookup Cache
  19. Expression Transformation
  20. External Procedure Transformation
  21. Filter Transformation
  22. HTTP Transformation
  23. Identity Resolution Transformation
  24. Java Transformation
  25. Java Transformation API Reference
  26. Java Expressions
  27. Java Transformation Example
  28. Joiner Transformation
  29. Key Generator Transformation
  30. Labeler Transformation
  31. Lookup Transformation
  32. Lookup Caches
  33. Match Transformation
  34. Match Transformations in Field Analysis
  35. Match Transformations in Identity Analysis
  36. Merge Transformation
  37. Normalizer Transformation
  38. Parser Transformation
  39. Rank Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. Source Qualifier Transformation
  44. SQL Transformation
  45. Using the SQL Transformation in a Mapping
  46. Stored Procedure Transformation
  47. Standardizer Transformation
  48. Transaction Control Transformation
  49. Union Transformation
  50. Unstructured Data Transformation
  51. Update Strategy Transformation
  52. Weighted Average Transformation
  53. XML Transformations

Transformation Guide

Transformation Guide

Run the Data Viewer

Run the Data Viewer

Run the Data Viewer to review the results of the match analysis. By default, the Data Viewer shows all the output ports on the Match transformation. When you run the mapping, you update the data target with the data from the output ports.
The following image shows the output data in the Data Viewer:
The Data Viewer shows the output data from the Match transformation output ports, including the row I.D. ports.
The Data Viewer verifies that the customer account data includes one or more duplicate records.
Consider the following data in the Data Viewer:
  • The transformation determines that the records for Augusta Chan and Carmen Chan might contain the same information because they contain the same surname and address data. When you review the records, you decide that the records are unique in the data set. However, you notice that the records share a common customer ID value. Because the customer ID column is a primary key in the data set, you contact the New York office. The New York office resolves the error.
  • The transformation determines that the records for Keith Anderson might contain the same information. When you review the records, you verify that the two records represent the same account. However, you notice that the records have different customer ID values. Because a customer account must have a single ID value, you contact the San Antonio office. The San Antonio office resolves the error.

0 COMMENTS

We’d like to hear from you!