The Hortonworks Community Connection is now live. A completely rebuilt Q&A forum, Knowledge Base, Code Hub and more, backed by the experts in the industry.

You will be redirected here in 10 seconds. If your are not redirected, click here to visit the new site.

The legacy Hortonworks Forum is now closed. You can view a read-only version of the former site by clicking here. The site will be taken offline on January 31,2016

HDP on Linux – Installation Forum

Installing HDP 2.0 on Linux RHEL5.8

  • #41728
    Veerabahu
    Participant

    I am trying to install Ambari server on a new machine RHEL 5.8 (2 nodes) Installing HDP 2.0 , ambari server on server2
    I dont see the ‘yum install epel-release’ in the documentation for HDP, Although i had to do it for HDP1.3.2
    Do I need to install epel release for HDP 2 , for ambari server, is this step missing from the documentation ?

    Please let me know.

  • Author
    Replies
  • #41729
    Dave
    Moderator

    Hi,

    No, you do not need the epel-release from what I recall, as this should be available from HDP-UTILS

    Thanks

    Dave

The forum ‘HDP on Linux – Installation’ is closed to new topics and replies.

Support from the Experts

A HDP Support Subscription connects you experts with deep experience running Apache Hadoop in production, at-scale on the most demanding workloads.

Enterprise Support »

Become HDP Certified

Real world training designed by the core architects of Hadoop. Scenario-based training courses are available in-classroom or online from anywhere in the world

Training »

Hortonworks Data Platform
The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly enterprise grade having been built, tested and hardened with enterprise rigor.
Get started with Sandbox
Hortonworks Sandbox is a self-contained virtual machine with Apache Hadoop pre-configured alongside a set of hands-on, step-by-step Hadoop tutorials.
Modern Data Architecture
Tackle the challenges of big data. Hadoop integrates with existing EDW, RDBMS and MPP systems to deliver lower cost, higher capacity infrastructure.