Table of Contents

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  1. Preface
  2. Working with Transformations
  3. Aggregator Transformation
  4. Custom Transformation
  5. Custom Transformation Functions
  6. Data Masking Transformation
  7. Data Masking Examples
  8. Expression Transformation
  9. External Procedure Transformation
  10. Filter Transformation
  11. HTTP Transformation
  12. Identity Resolution Transformation
  13. Java Transformation
  14. Java Transformation API Reference
  15. Java Expressions
  16. Java Transformation Example
  17. Joiner Transformation
  18. Lookup Transformation
  19. Lookup Caches
  20. Dynamic Lookup Cache
  21. Normalizer Transformation
  22. Rank Transformation
  23. Router Transformation
  24. Sequence Generator Transformation
  25. Sorter Transformation
  26. Source Qualifier Transformation
  27. SQL Transformation
  28. Using the SQL Transformation in a Mapping
  29. Stored Procedure Transformation
  30. Transaction Control Transformation
  31. Union Transformation
  32. Unstructured Data Transformation
  33. Update Strategy Transformation
  34. XML Transformations

Transformation Guide

Transformation Guide

Unstructured Data Transformation Overview

Unstructured Data Transformation Overview

The Unstructured Data transformation is a transformation that processes unstructured and semi-structured file formats, such as messaging formats, HTML pages and PDF documents. It also transforms structured formats such as ACORD, HIPAA, HL7, EDI-X12, EDIFACT, and SWIFT.
The Unstructured Data transformation calls a
Data Transformation
service from a PowerCenter session.
Data Transformation
is the application that transforms the unstructured and semi-structured file formats. You can pass data from the Unstructured Data transformation to a
Data Transformation
service, transform the data, and return the transformed data to the pipeline. The Unstructured Data transformation can be an active or passive transformation.
Data Transformation
has the following components:
  • Informatica Developer. A development tool that provides capability to design and configure transformation projects.
  • Data Transformation
    service. A
    Data Transformation
    project that is deployed to the
    Data Transformation
    repository and is ready to run.
  • Data Transformation
    repository. A directory that stores executable services that you create in Informatica Developer. You can deploy projects to different repositories, such as repositories for test and production services.
  • Data Transformation
    Engine. A processor that runs the services that you deploy to the repository.
When
Data Transformation
Engine runs a service, it writes the output data, or it returns output data to the Integration Service. When
Data Transformation
Engine returns output to the Integration Service, it returns XML data. You can configure the Unstructured Data transformation to return the XML in an output port, or you can configure output groups to return row data.
The following figure shows the interface between the PowerCenter Unstructured Data transformation and a
Data Transformation
service that transforms data from a PowerCenter session:
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The following events occur when you call a
Data Transformation
service from a PowerCenter session:
  1. The Unstructured Data transformation passes source data to
    Data Transformation
    Engine.
  2. Data Transformation
    Engine runs a
    Data Transformation
    service to transform the data. The
    Data Transformation
    service is in the
    Data Transformation
    repository folder.
  3. Data Transformation
    Engine writes transformed data directly to output files, or it returns the transformed data to the Unstructured Data transformation.
  4. The Unstructured Data transformation returns XML data or data rows. If the Unstructured Data transformation returns XML, connect the Unstructured Data transformation to an XML Parser transformation in the mapping.

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