Table of Contents

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  1. Preface
  2. Introduction to Informatica Data Engineering Integration
  3. Mappings
  4. Mapping Optimization
  5. Sources
  6. Targets
  7. Transformations
  8. Python Transformation
  9. Data Preview
  10. Cluster Workflows
  11. Profiles
  12. Monitoring
  13. Hierarchical Data Processing
  14. Hierarchical Data Processing Configuration
  15. Hierarchical Data Processing with Schema Changes
  16. Intelligent Structure Models
  17. Blockchain
  18. Stateful Computing
  19. Appendix A: Connections Reference
  20. Appendix B: Data Type Reference
  21. Appendix C: Function Reference

Rules and Guidelines for Intelligent Structure Models

Rules and Guidelines for
Intelligent Structure Model
s

Consider the following rules and guidelines when you work with an
intelligent structure model
:
  • When you create an
    intelligent structure model
    in Cloud
    Data Integration
    , select the
    Data Integration
    version that corresponds to your current Data Engineering Integration version.
  • The model or the sample file that you select for a data object should match the structure of the expected input files for the data object as much as possible. If an input file does not match the model that you select or that
    Intelligent Structure Discovery
    creates based on the sample file, or partially matches the model, there might be a large amount of unidentified data. Therefore, it is important to choose a file that represents the expected input files.
  • You can only use a Read transformation with an
    intelligent structure model
    in a mapping. Do not create or use a Write transformation with an
    intelligent structure model
    , as the mapping will fail.
  • A data object with an
    intelligent structure model
    parses PDF forms, Microsoft Word tables, and Microsoft Excel files whose size is less than the supported Hadoop split size of 256 MB.
  • An
    intelligent structure model
    can parse the data within PDF form fields but not data outside the fields.
  • An
    intelligent structure model
    can parse data within Microsoft Word tables. Other data is unidentified.
  • If the input contains unidentified data,
    Intelligent Structure Discovery
    arranges the output of unidentified data in the sample file in structured JSON format.


Updated September 28, 2020