Table of Contents

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  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

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)
  • Parquet

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