Table of Contents

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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings in the Hadoop Environment
  4. Mapping Sources in the Hadoop Environment
  5. Mapping Targets in the Hadoop Environment
  6. Mapping Transformations in the Hadoop Environment
  7. Processing Hierarchical Data on the Spark Engine
  8. Configuring Transformations to Process Hierarchical Data
  9. Processing Unstructured and Semi-structured Data with an Intelligent Structure Model
  10. Stateful Computing on the Spark Engine
  11. Monitoring Mappings in the Hadoop Environment
  12. Mappings in the Native Environment
  13. Profiles
  14. Native Environment Optimization
  15. Cluster Workflows
  16. Connections
  17. Data Type Reference
  18. Function Reference
  19. Parameter Reference

Intelligent Structure Model Sources

Intelligent Structure Model Sources

Intelligent structure model sources are valid in mappings in a Hadoop environment.
You can include the following sources in an Informatica mapping that runs in a Hadoop environment on a Spark engine:
  • complex file
  • Amazon S3
  • Microsoft Azure Blob
Intelligent structure model in data objects is available for technical preview. Technical preview functionality is supported but is unwarranted and is not production-ready. Informatica recommends that you use intelligent structure model in the Microsoft Azure Blob Storage in non-production environments only.


Updated October 23, 2019