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

Libraries Overview

Libraries Overview

A Library is a Data Processor transformation object that contains predefined components used to transform a range of industry messaging standards. A Data Processor transformation uses a Library to transform an industry message type input into other formats. You can create Library objects for all libraries.
A Library contains a large number of objects and components, such as Parsers, Serializers, and XML schemas, that transform the industry standard input and specific application messages into XML output. A Library might contain objects for message validation, acknowledgments, and diagnostic displays. A Library uses objects to transform the messaging type from industry standard input to XML and from XML to other formats.
You can create Library objects for ACORD, BAI, CREST, DTCC-NSCC, EDIFACT, EDIT-UCS & WINS, EDI_VICS, EDI-X12, FIX, FpML, HIPAA, HIX, HL7, IATA, IDS, MDM Mapping, NACHA, NCPDP, SEPA, SWIFT, and Telekurs libraries.
You can use a dedicated Library editor to edit the Library specifications for the DTCC-NSCC, EDIFACT, EDI-X12, HIPAA, HL7, and SWIFT libraries. A Library message contains a root element, container elements, and data elements. The types of container and data elements vary according to message type. You can add and delete elements and configure the properties of elements to change validation settings.
For more information about industry message types, see
Data Transformation Libraries Guide.