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  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings in the Hadoop Environment
  4. Mapping Sources in the Hadoop Environment
  5. Mapping Targets in the Hadoop Environment
  6. Mapping Transformations in the Hadoop Environment
  7. Processing Hierarchical Data on the Spark Engine
  8. Configuring Transformations to Process Hierarchical Data
  9. Processing Unstructured and Semi-structured Data with an Intelligent Structure Model
  10. Stateful Computing on the Spark Engine
  11. Monitoring Mappings in the Hadoop Environment
  12. Mappings in the Native Environment
  13. Profiles
  14. Native Environment Optimization
  15. Cluster Workflows
  16. Connections
  17. Data Type Reference
  18. Function Reference
  19. Parameter Reference

Big Data Management User Guide

Big Data Management User Guide

Teradata Data Types with TDCH Specialized Connectors for Sqoop

Teradata Data Types with TDCH Specialized Connectors for Sqoop

Informatica supports the following Teradata data types when you use the Cloudera Connector Powered by Teradata, Hortonworks Connector for Teradata, and MapR Connector for Teradata with Sqoop:
  • Bigint
  • Byte (supported only by Hortonworks Connector for Teradata and MapR Connector for Teradata)
  • Byteint
  • Character
  • Date
  • Decimal
  • Double Precision/Float/Real
  • Integer
  • Number(P,S)
  • Numeric
  • Smallint
  • Time (supported only by Cloudera Connector Powered by Teradata and Hortonworks Connector for Teradata)
  • Timestamp
  • Varchar
  • Varbyte (supported only by Hortonworks Connector for Teradata and MapR Connector for Teradata)

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