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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

Creating a Data Store for Identity Index Data

Creating a Data Store for Identity Index Data

Configure a mapping that reads a data source that contains identity information. Use a Match transformation to write the index data to a database.
  1. Create a mapping, and add the data source to the mapping canvas.
  2. Add a Match transformation to the mapping canvas.
  3. On the data source, select the ports that contain the identity information.
    • Connect the identity information ports to the Match transformation.
    • Connect the port that contains the sequence identifier values to the Match transformation.
  4. On the Match transformation, select the
    Match Type
    view.
  5. Set the match type to
    Identity Match with Persistent Record ID
    .
  6. Configure the following options to create the index data store.
    • Set the persistence method to
      Update the database with new IDs
      .
    • Verify the matching process value. The default value is
      Enable
      . If you disable the matching process, the mapping creates the identity index tables but does not perform match analysis on the data.
    • On the DB Connection menu, select a database for the index tables.
    • On the Persistent Store menu, select
      Create New
      . Enter a name for the index in the
      Create Storage Tables
      dialog box.
  7. Perform any other configuration step that the Match transformation requires. For example, configure a transformation strategy.
  8. Add a target data object to the mapping.
  9. Connect the Match transformation output ports to the target data object.
  10. Run the mapping.
The mapping writes the index data for the data source to the database tables that you specify.

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