Table of Contents

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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. XMap
  7. Libraries
  8. Schema Object
  9. Command Line Interface
  10. Scripts
  11. Parsers
  12. Script Ports
  13. Document Processors
  14. Formats
  15. Data Holders
  16. Anchors
  17. Transformers
  18. Actions
  19. Serializers
  20. Mappers
  21. Locators, Keys, and Indexing
  22. Streamers
  23. Validators, Notifications, and Failure Handling
  24. Validation Rules
  25. Custom Script Components

Data Transformation User Guide

Data Transformation User Guide

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 September 26, 2018