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 Targets on Amazon S3

Complex File Targets on Amazon S3

Use a PowerExchange for Amazon S3 connection to write data to Amazon S3 data objects.
The following table shows the complex files that a mapping can process within Amazon S3 storage on the Databricks Spark engine:
File Type
Supported Formats
Avro
  • Flat
  • Hierarchical
JSON
  • Flat
  • Hierarchical
ORC
  • Flat
Parquet
  • Flat
  • Hierarchical


Updated September 28, 2020