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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

User Guide

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.

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