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

Cloud Provisioning Configuration

Cloud Provisioning Configuration

The cloud provisioning configuration establishes a relationship between the Create Cluster task and the Hadoop connection that the workflow uses to run mapping tasks. The Create Cluster task must include a reference to the cloud provisioning configuration. In turn, the cloud provisioning configuration points to the Hadoop connection that you create for use by the cluster workflow.
The properties to populate depend on the Hadoop distribution you choose to build a cluster on. Choose one of the following connection types:
  • AWS Cloud Provisioning. Connects to an Amazon EMR cluster on Amazon Web Services.
  • Azure Cloud Provisioning. Connects to an HDInsight cluster on the Azure platform.

Updated October 23, 2019