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

Cluster Workflow Components

Cluster Workflow Components

The cluster workflow creates an ephemeral cluster that includes a Create Cluster task, at least one Mapping task, and a Delete Cluster task.
The following image shows a sample cluster workflow: The cluster workflow shows a Atart event, a Create Cluster task, a mappingns, a Delete Cluster task, and an End Event connected with arrows.

Updated October 23, 2019