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  • Data Engineering Integration 10.2.1
  • All Products

Table of Contents

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  1. Preface
  2. Introduction to Big Data Management Administration
  3. Big Data Management Engines
  4. Authentication and Authorization
  5. Running Mappings on a Cluster with Kerberos Authentication
  6. Configuring Access to an SSL/TLS-Enabled Cluster
  7. Cluster Configuration
  8. Cluster Configuration Privileges and Permissions
  9. Cloud Provisioning Configuration
  10. Queuing
  11. Tuning for Big Data Processing
  12. Connections
  13. Multiple Blaze Instances on a Cluster

Big Data Management Administrator Guide

Big Data Management Administrator Guide

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User Impersonation with Kerberos Authentication

User Impersonation with Kerberos Authentication

You can enable different users to run mappings in a Hadoop cluster that uses Kerberos authentication or connect to big data sources and targets that use Kerberos authentication. To enable different users to run mappings or connect to big data sources and targets, you must configure user impersonation.
You can configure user impersonation for the native or Hadoop environment.
Before you configure user impersonation, you must complete the following prerequisites:
  • Complete the tasks for running mappings in a Kerberos-enabled Hadoop environment.
  • Configure Kerberos authentication for the native or Hadoop environment.
  • If the Hadoop cluster uses MapR, create a proxy directory for the user who will impersonate other users.
If the Hadoop cluster does not use Kerberos authentication, you can specify a user name in the Hadoop connection to enable the Data Integration Service to impersonate that user.
If the Hadoop cluster uses Kerberos authentication, you must specify a user name in the Hadoop connection.
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