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

Function and Data Type Processing

Function and Data Type Processing

When you run a mapping in a Hadoop environment, the Hadoop engine might process Informatica functions and data types differently from the Data Integration Service. Also, each of the run-time engines in the Hadoop environment can process Informatica functions and data types differently. Therefore, some variations apply in the processing and validity of functions and data types, and mapping results can vary.


Updated September 28, 2020