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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

Cluster Output

Cluster Output

The Target_CustomerConsolidate table receives records from the Cluster Output group. The Cluster Output group returns records that might be duplicate records. The records in the Target_CustomerConsolidate table need manual review in the Analyst tool.
The following image shows some of the records and the fields in the Target_CustomerConsolidate table:
The record contains the following fields:
Row_Identifier
A number that uniquely identifies each row in the table.
Sequential Cluster ID
A sequential identifier for each cluster to review in a Human task. The Duplicate Record Exception transformation adds the sequential cluster ID to records in the Cluster Data output group.
Cluster ID
A unique identifier for a cluster. The Match transformation assigns a cluster ID to all the output records. Duplicate records and possible duplicate records share a cluster ID. A unique record receives a cluster ID, but the record does not share the ID number with any other record.
Score
Match score that indicates the degree of similarity between a record and another record in the cluster. Records that require manual review have match scores less than .95 and greater than .80.
Is Master
Indicates whether the record is the preferred record in the cluster.
WorkflowID
The WorkflowID is DummyWorkflowID because the transformation is not in a workflow.
Record Fields
The other fields in the record contain the customer source data.

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