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Table of Contents

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  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

Match Transformation Views

Match Transformation Views

The Match transformation organizes the options that you can configure on a series of views. In a reusable transformation, the views appear as tabs on the Developer tool canvas. To open a view, click a tab. In a nonreusable transformation, the views appear as a list on the canvas. To open a view, click an item on the list.
When you configure a match analysis operation, you can configure the following views:
General
Use the General view to update the name and the description of a nonreusable Match transformation. The description is optional.
Ports
Use the Ports view to verify the input ports and output ports on a nonreusable Match transformation.
Overview
Use the Overview to update the name and the description of a reusable transformation. The description is optional. You also use the Overview to create the input ports and output ports on a reusable transformation.
Match Type
Use the Match Type view to select the type of duplicate analysis that the transformation performs. You can select field match analysis or identity match analysis. You can specify a single data source or two data sources.
Strategies
Use the Strategies view to define one or more strategies to analyze the input data. You select two data columns in each strategy, and you assign a match analysis algorithm to the columns.
Match Output
Use the Match Output view to specify the structure and format of the output data.
Parameters
Use the Parameters view to define any parameter that the Data Integration Service can apply to the transformation when you run a mapping that contains the transformation.
Advanced
Use the Advanced view to specify the following properties:
  • The level of detail in any log message that the mapping writes for the transformation.
  • The number of processes that identity match operations use when you run a mapping that contains the transformation.
  • Whether the transformation passes data from identical records directly to the output ports. You can filter identical records when you configure the transformation to write clustered output.
The following image shows the views on a Match transformation that you configure for identity analysis with a persistent index store:
The nonreusable transformation displays the view names in a column below the mapping canvas in the Developer tool.

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