A mapping uses a Data Processor transformation to change documents from one format to another. The Data Processor transformation processes files of any format in a mapping. When you create a Data Processor transformation, you define components that convert the data.

A Data Processor transformation can contain multiple components to process data. Each component might contain other components.

For example, you might receive customer invoices in Microsoft Word files. You configure a Data Processor transformation to parse the data from each word file. Extract the customer data to a Customer table. Extract order information to an Orders table.

When you create a Data Processor transformation, you define an XMap, Script, or Library. An XMap converts an input hierarchical file into an output hierarchical file of another structure. A Library converts an industry messaging type into an XML document with a hierarchy structure or from XML to an industry standard format. A Script can parse source documents to hierarchical format, convert hierarchical format to other file formats, or map a hierarchical document to another hierarchical format.

Define Scripts in the Data Processor transformation IntelliScript editor. You can define the following types of Scripts:

Parser. Converts source documents to XML. The output of a Parser is always XML. The input can have any format, such as text, HTML, Word, PDF, or HL7.
Serializer. Converts an XML file to an output document of any format. The output of a Serializer can be any format, such as a text document, an HTML document, or a PDF.
Mapper. Converts an XML source document to another XML structure or schema. You can convert the same XML documents as in an XMap.
Transformer. Modifies the 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 stand-alone component.
Streamer. Splits large input documents, such as multi-gigabyte data streams, into segments. The Streamer processes documents that have multiple messages or records in them, such as HIPAA or EDI files.

For more information, see the

Data Transformation User Guide

.