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 Components

Data Transformation Components

When you define a Data Transformation service or a Data Processor transformation, you can combine multiple components to transform the data.
Data Transformation has the following types of components that transform data:
Library
Transform an industry message type input into other formats.
Mapper
Converts an XML source document to another XML document.
Parser
Converts source documents to XML. The input can have any format. The output of a Parser is XML.
Serializer
Converts an XML file to another document. The output can be any format.
Streamer
Splits large input documents, such as multiple gigabyte data streams, into segments. The Streamer splits documents that have multiple messages or multiple records in them.
Transformer
Modifies data in any format. Adds, removes, converts, or changes text. Use Transformers with a Parser, Mapper, or Serializer. You can also run a Transformer as standalone component.
XMap
Converts an XML source document to another XML document. XMap has the same functionality as Mapper, but you can use a grid in the Developer tool to define the mapping.


Updated September 26, 2018