Table of Contents


  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

Decision Transformation in the Hadoop Environment

Decision Transformation in the Hadoop Environment

The Decision transformation processing in the Hadoop environment depends on the engine that runs the transformation.
You can run Decision transformation on the following engines in a Hadoop environment:
  • Blaze engine. Supported without restrictions.
  • Spark engine. You must configure the Decision transformation properties to be partitionable.
  • Hive engine. Supported without restrictions.

Updated October 23, 2019