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

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 and Databricks Spark engines:
  • Avro
  • JavaScript Object Notation (JSON)
  • Optimized Row Columnar (ORC)
  • Parquet


Updated September 28, 2020