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

Configure the Cluster Workflow

Configure the Cluster Workflow

A cluster workflow must have one Create Cluster task.
  1. In the Developer tool, create a workflow.
  2. From the palette of tasks, drag a Create Cluster task to the workflow editor.
  3. Complete the Create Cluster task general properties.
    Task name.
    Optional description.
    Connection Name
    Name of the cloud provisioning configuration to use with the workflow.
    Connection Type
    Choose from the following options:
    • Amazon EMR. Create an Amazon EMR cluster.
    • HDInsight. Create an Azure HDInsight cluster.
  4. Configure task input and output properties.
    Input properties
    The Create Cluster task does not require any unique values for task input properties.
    Output properties
    Set the Cluster Identifier property to the default value, AutoDeployCluster.
    The Cluster Identifier property of the Create Cluster task overrides the Cluster Identifier property of the Mapping task.
  5. Set the advanced properties that correspond to your cloud platform.
  6. Configure the Software Settings property in the advanced properties if you want to perform the following optional tasks:
  7. Connect the workflow Start_Event to the Create Cluster task.

Updated October 23, 2019