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

Aurora Data Types

Aurora Data Types

Informatica supports the following Aurora data types when you use Sqoop:

    Binary

    Bit

    Blob (supported only for import)

    Char

    Date

    Datetime

    Decimal

    Double

    Enum

    Float

    Integer

    Numeric

    Real

    Set

    Text

    Time

    Timestamp

    Varbinary

    Varchar



Updated September 28, 2020