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  • Data Engineering Integration 10.2.1
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Table of Contents

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  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

Big Data Management User Guide

Big Data Management User Guide

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Use a Cluster Workflow to Create Clusters on a Cloud Platform

Use a Cluster Workflow to Create Clusters on a Cloud Platform

You can create a workflow in the Developer tool that creates a cluster on a cloud platform and runs Mapping tasks and other tasks.
A cluster workflow contains a Create Cluster task that has configuration properties for a cluster and a reference to cloud provisioning and Hadoop connections.
When you deploy and run a cluster workflow, it creates a cluster on a cloud platform and runs Mapping tasks and other tasks on the cluster.
You can optionally include a Delete Cluster task that terminates the cluster when workflow tasks are complete. A cluster that is created and then terminated is called an ephemeral cluster.
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