Table of Contents

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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Connections
  4. Mappings in the Hadoop Environment
  5. Mapping Objects in the Hadoop Environment
  6. Processing Hierarchical Data on the Spark Engine
  7. Stateful Computing on the Spark Engine
  8. Monitoring Mappings in the Hadoop Environment
  9. Mappings in the Native Environment
  10. Profiles
  11. Native Environment Optimization
  12. Data Type Reference
  13. Complex File Data Object Properties
  14. Function Reference
  15. Parameter Reference

Complex File and Transformation Data Types

Complex File and Transformation Data Types

You can use complex data types in mappings to process hierarchical data in complex files.
You can use complex data types in the following complex files in mappings that run on the Spark engine:
  • Avro
  • JavaScript Object Notation (JSON)
  • Parquet


Updated December 13, 2018