Table of Contents


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

Overview of Intelligent Structure Models

Overview of Intelligent Structure Models

You can use CLAIRE™
Intelligent Structure Discovery
to parse semi-structured or structured data in mappings that run on the Spark engine.
Long, complex files with little or no structure can be difficult to understand much less parse. CLAIRE
Intelligent Structure Discovery
can automatically discover the structure in unstructured data.
CLAIRE uses machine learning algorithms to decipher data in semi-structured or unstructured data files and create a model of the underlying structure of the data. You can generate an
Intelligent structure model
, a model of the pattern, repetitions, relationships, and types of fields of data discovered in a file, in
Informatica Intelligent Cloud Services
To use the model, you export it from
Data Integration
, and then can associate it with a data object in a Big Data Management mapping. You can run the mapping on the Spark engine to process the data. The mapping uses the
Intelligent structure model
to extract and parse data from input files based on the structure expressed in the model.


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