Table of Contents

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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Connections
  4. Mappings in the Hadoop Environment
  5. Mapping Objects in the Hadoop Environment
  6. Processing Hierarchical Data on the Spark Engine
  7. Stateful Computing on the Spark Engine
  8. Monitoring Mappings in the Hadoop Environment
  9. Mappings in the Native Environment
  10. Profiles
  11. Native Environment Optimization
  12. Data Type Reference
  13. Complex File Data Object Properties
  14. Function Reference
  15. Parameter Reference

Netezza Data Types

Netezza Data Types

Informatica supports the following Netezza data types when you use Sqoop:
  • Bigint
  • Blob (supported only for import)
  • Byteint
  • Char
  • Date
  • Double
  • Float4
  • Float8
  • Number
  • Timestamp
  • Varchar


Updated November 09, 2018