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

General Properties

General Properties

The following table describes cloud provisioning configuration general properties:
Property
Description
Name
Name of the cloud provisioning configuration.
ID
ID of the cloud provisioning configuration. Default: Same as the cloud provisioning configuration name.
Description.
Optional. Description of the cloud provisioning configuration.
AWS Access Key ID
Optional. ID of the AWS access key, which AWS uses to control REST or HTTP query protocol requests to AWS service APIs.
If you do not specify a value, Informatica attempts to follow the Default Credential Provider Chain.
AWS Secret Access Key
Secret component of the AWS access key.
Required if you specify the AWS Access Key ID.
Region
Region in which to create the cluster. This must be the region in which the VPC is running.
Use AWS region values. For a list of acceptable values, see AWS documentation.
The region where you want to create the cluster can be different from the region in which the Informatica domain is installed.


Updated October 23, 2019