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  • Informatica Data Quality 10.5
  • All Products

Table of Contents

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  1. Preface
  2. Introduction to Transformations
  3. Transformation Ports
  4. Transformation Caches
  5. Address Validator Transformation
  6. Aggregator Transformation
  7. Association Transformation
  8. Bad Record Exception Transformation
  9. Case Converter Transformation
  10. Classifier Transformation
  11. Comparison Transformation
  12. Consolidation Transformation
  13. Data Masking Transformation
  14. Data Processor Transformation
  15. Decision Transformation
  16. Duplicate Record Exception Transformation
  17. Expression Transformation
  18. Filter Transformation
  19. Hierarchical to Relational Transformation
  20. Java Transformation
  21. Java Transformation API Reference
  22. Java Expressions
  23. Joiner Transformation
  24. Key Generator Transformation
  25. Labeler Transformation
  26. Lookup Transformation
  27. Lookup Caches
  28. Dynamic Lookup Cache
  29. Macro Transformation
  30. Match Transformation
  31. Match Transformations in Field Analysis
  32. Match Transformations in Identity Analysis
  33. Normalizer Transformation
  34. Merge Transformation
  35. Parser Transformation
  36. Python Transformation
  37. Rank Transformation
  38. Read Transformation
  39. Relational to Hierarchical Transformation
  40. REST Web Service Consumer Transformation
  41. Router Transformation
  42. Sequence Generator Transformation
  43. Sorter Transformation
  44. SQL Transformation
  45. Standardizer Transformation
  46. Union Transformation
  47. Update Strategy Transformation
  48. Web Service Consumer Transformation
  49. Parsing Web Service SOAP Messages
  50. Generating Web Service SOAP Messages
  51. Weighted Average Transformation
  52. Window Transformation
  53. Write Transformation
  54. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

Back Next

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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