Table of Contents


  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

Cloud Provisioning Configuration

Cloud Provisioning Configuration

The cloud provisioning configuration establishes a relationship between the Create Cluster task and the cluster connection that the workflows use 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 cluster 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.
  • Databricks Cloud Provisioning. Connects to a Databricks cluster on the Azure Databricks platform.


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