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

Deploy and Run the Workflow

Deploy and Run the Workflow

After you complete the cluster workflow, deploy and run the workflow.
You can monitor cluster provisioning tasks on the AWS or Azure web console. If you configured a log location, view the logs at the location that you configured in the Create Cluster task properties.
You can also monitor Data Integration Service jobs in the Administrator tool.
After the workflow begins executing tasks, the task to provision the cluster may take several minutes.

Updated October 23, 2019