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

General Options

General Options

The following table describes general options that you can set for an EMR cluster:
Cluster Name
Name of the cluster to create.
Release Version
EMR version to run on the cluster.
Enter the AWS version tag string to designate the version. For example:
Default is Latest version supported.
Connection Name
Name of the Hadoop connection that you configured for use with the cluster workflow.
S3 Log URI
Optional. S3 location of logs for cluster creation. Format:
s3://<bucket name>/<folder name>
If you do not supply a location, no cluster logs will be stored.

Updated October 23, 2019