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  • Data Engineering Integration 10.2.2 HotFix 1
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Table of Contents

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  1. Preface
  2. Introduction to Big Data Management Administration
  3. Authentication
  4. Running Mappings on a Cluster with Kerberos Authentication
  5. Authorization
  6. Cluster Configuration
  7. Cloud Provisioning Configuration
  8. Data Integration Service Processing
  9. Connections
  10. Multiple Blaze Instances on a Cluster
  11. Monitoring REST API

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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