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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

Human Tasks

Human Tasks

When you configure a workflow that contains an Exception transformation, you include the mapping in a Mapping task. You add a Human task to the same workflow. The Human task requires one or more users to correct the exception records in the Analyst tool.
The Mapping task identifies the records in the source data that contain unresolved data quality issues. Data analysts use the Analyst tool to resolve the issues and to update the data quality status of each record.
When you configure a Human task, you create one or more task instances and one or more task steps. A task instance represents the data set that a user must work on. A task step represents the type of work that a user performs on the records in his or her task instance. You can create multiple task instances so that different users work on different parts of the data in the Analyst tool.
A user can update the status of the bad records in the Analyst tool in one of the following ways:
  • If a record is valid, the user updates the table metadata to confirm the record for persistent storage in the database.
  • If a record is not valid, the user updates the table metadata to remove the record from the database at a later stage in the workflow.
  • If the record status is not confirmed, the user updates the table metadata so that the record returns to the workflow for further processing in a Mapping task.
For more information about Human tasks, see the
Informatica Developer Workflow Guide
.

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