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English
  • 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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Support for Authentication Systems

Support for Authentication Systems

Depending on the run-time engine that you use, you can run mappings on a Hadoop cluster that uses a supported security management system.
Hadoop clusters use a variety of security management systems for user authentication. The following table shows the run-time engines supported for the security management system installed on the Hadoop platform:
Hadoop Distribution
Apache Knox
Kerberos
LDAP
Amazon EMR
No support
  • Native
  • Blaze
  • Spark
  • Hive
  • Native
  • Blaze
  • Spark
  • Hive
Azure HDInsight*
No support
  • Native
  • Blaze
  • Spark
  • Hive
No support
Cloudera CDH
No support
  • Native
  • Blaze
  • Spark
  • Hive
  • Native
  • Blaze
  • Spark
  • Hive
Hortonworks HDP
  • Native
  • Blaze
  • Spark
  • Hive
  • Native
  • Blaze
  • Spark
  • Hive
  • Native
  • Blaze
  • Spark
  • Hive
MapR
No support
  • Native
  • Blaze
  • Spark
  • Hive
No support
Informatica supports an Azure HDInsight cluster that uses WASB storage with Enterprise Security Package. The Enterprise Security Package uses Kerberos for authentication and Apache Ranger for authorization.
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