Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Aggregator transformation
  6. Cleanse transformation
  7. Data Masking transformation
  8. Data Services transformation
  9. Deduplicate transformation
  10. Expression transformation
  11. Filter transformation
  12. Hierarchy Builder transformation
  13. Hierarchy Parser transformation
  14. Hierarchy Processor transformation
  15. Input transformation
  16. Java transformation
  17. Java transformation API reference
  18. Joiner transformation
  19. Labeler transformation
  20. Lookup transformation
  21. Machine Learning transformation
  22. Mapplet transformation
  23. Normalizer transformation
  24. Output transformation
  25. Parse transformation
  26. Python transformation
  27. Rank transformation
  28. Router transformation
  29. Rule Specification transformation
  30. Sequence Generator transformation
  31. Sorter transformation
  32. SQL transformation
  33. Structure Parser transformation
  34. Transaction Control transformation
  35. Union transformation
  36. Velocity transformation
  37. Verifier transformation
  38. Web Services transformation

Transformations

Transformations

Rule Specification transformation

Rule Specification transformation

The Rule Specification transformation adds a rule specification asset that you created in
Data Quality
to a mapping.
A rule specification is a set of one or more logical operations that analyze data according to business criteria that you define. The rule specification generates an output that indicates whether the data satisfies the business criteria. The rule specification can also update the data that it analyzes. You define the logical operations as IF/THEN/ELSE statements in
Data Quality
.
Each Rule Specification transformation can contain a single rule specification. You can add multiple Rule Specification transformations to a mapping.
Use a Rule Specification transformation to accomplish the following goals:
  • Define the types of data that a business data set contains.
  • Define a set of conditions that the business data must satisfy.
  • Define the actions to take when the data satisfies the conditions of the business rule.
  • Define the actions to take when the data fails to satisfy the conditions of the business rule.
A Rule Specification transformation is similar to a Mapplet transformation, as it allows you to add data analysis and data transformation logic that you designed elsewhere to a mapping. Like mapplets, rule specifications are reusable assets. A Rule Specification transformation shows incoming and outgoing fields. It does not display the logic that the rule specification contains or allow to you edit the rule specification. To edit the rule specification, open it in
Data Quality
.
To use the Rule Specification transformation, you need the appropriate license.

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