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

Sqoop Targets on Hadoop

Sqoop Targets on Hadoop

Sqoop targets are valid in mappings in a Hadoop environment.
You can include a JDBC-compliant database as a Sqoop target in an Informatica mapping that runs in a Hadoop environment:
For example, you can include the following targets in a Sqoop mapping:
  • Aurora
  • Greenplum
  • IBM DB2
  • IBM DB2 for z/OS
  • Microsoft SQL Server
  • Netezza
  • Oracle
  • Teradata
  • Vertica
You can insert data. You cannot update or delete data in a target. If you configure update arguments, Sqoop ignores them.

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