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

Administrator Tasks

Administrator Tasks

Before the developer can create a cluster workflow, an administrator performs tasks on the Informatica domain.
Before you create a cluster workflow, an administrator must complete the following tasks:
Step 1. Verify prerequisites.
On the cloud platform, install an Informatica domain. Ensure the domain has permission to access cloud storage resources and to create a cluster on the cloud platform. Enable DNS resolution from an on-premises domain.
Step 2. Create the cloud provisioning configuration.
Use the Administrator tool to create a cloud provisioning configuration. The cloud provisioning configuration contains all of the information that the Data Integration Service requires to contact and create resources on the cloud platform.
Step 3. Create a Hadoop connection.
Create a dedicated Hadoop connection to use with the cluster workflow. Populate the Cloud Provisioning Configuration property with the name of the cloud provisioning configuration you created for the workflow. The workflow uses settings in the Hadoop connection to run jobs on the cluster.

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