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  1. Preface
  2. Introduction to Data Transformation
  3. Data Processor Transformation
  4. Wizard Input and Output Formats
  5. Relational Input and Output
  6. Using the IntelliScript Editor
  7. XMap
  8. Libraries
  9. Schema Object
  10. Command Line Interface
  11. Scripts
  12. Parsers
  13. Script Ports
  14. Document Processors
  15. Formats
  16. Data Holders
  17. Anchors
  18. Transformers
  19. Actions
  20. Serializers
  21. Mappers
  22. Locators, Keys, and Indexing
  23. Streamers
  24. Validators, Notifications, and Failure Handling
  25. Validation Rules
  26. Custom Script Components

Data Transformation Process Architecture

Data Transformation Process Architecture

You must install Data Transformation in order to configure and run a Data Processor transformation in the Developer tool. The Data Processor transformation can contain multiple Scripts or XMap objects to transform complex files. The Data Transformation Engine runs Scripts, Libraries or XMaps to transform the data. You can use a Data Processor transformation in a data service, web service, or profile.
The following figure shows the components in the Data Transformation application and the components that you use to create the same functionality in the Developer tool:
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  1. Create a Data Processor transformation in the Developer tool. Save the transformation in the Model repository.
  2. Export the Data Processor transformation as a Data Transformation service. Export the service to the Data Transformation repository. You can run the service from the repository.
  3. You can deploy an application that contains a Data Processor transformation to a Data Integration Service.
  4. The Data Integration Service runs the application and calls the Data Processor Engine to process the transformation logic.
  5. The Data Processor Engine also runs services from the Data Transformation repository.


Updated March 03, 2021