Data & AI

5th Oct 2018

Beginners guide for Cloudera and how to configure it on AWS – EC2!

Share:

Beginners guide for Cloudera and how to configure it on AWS – EC2!

What is Cloudera Distribution of Hadoop AKA CDH?

Cloudera release or sell products which includes the official Apache Hadoop release, and/or their own and other useful tools.

Other companies or organizations release products that include artifact builds from modified or extended versions of the Apache Hadoop source tree.

Such derivative works are not supported by the Apache Team: all support issues must be directed to the suppliers themselves.

There are two versions of Cloudera distribution as follows,

  1. Cloudera Express – Free version
  2. Cloudera Enterprise versions – Paid version

Following are the steps to configure CDH cluster in EC2 machines.

Pre-Requisites:

  • Login to https://www.cloudera.com/downloads.html and download Cloudera Manager by providing your sign up credentials
  • Login to all the EC2 machines with which you are about to set up the cluster.
  • Edit /etc/hosts file and add “hostnames and private IP address” of all the machines
  • Login to the master machine and follow the below steps

Installation:

Step-1:

  • wget https://archive.cloudera.com/cm5/installer/latest/cloudera-manager-installer.bin
  • chmod u+x cloudera-manager-installer.bin
  • sudo ./cloudera-manager-installer.bin

Step-2:

Go to publicIP_of_EC2_machine:7180 in the browser with the below credentials

Username: admin

Password: admin

Step-3:

Click add cluster button and go to continue.

Step-4:

Select the CDH distribution version and package which you want to install in the cluster

Step-5:

Copy the hostnames from /etc/hosts file, ideally all the machines with which you want to create a cluster. Provide the hostnames/ip’s of the machines in textbox and continue.

Step-6:

  • Provide the common username and password which is available on all the machines.
  • Typically for linux machines you will either get “ec2-user” or “ubuntu” as a username.
  • Locate the ppk file by clicking the browse button and continue with the installation.

Step-7:

Once host setup is finished, click continue to go to the services installation section.

Leverge your Biggest Asset Data

Inquire Now

Step-8:

In this screen select the services which you want in the cluster (eg.,hadoop, hive, sqoop, oozie, all). And click next to continue

Step-9:

In this section you can select the machines where the master services (Namenode, ResourceManager,  HMaster., etc) should be configured and where the slave services (Datanode, Nodemanager, HRegionServer., etc) should be configured. Select the hosts to configure the corresponding services and click next.

Step-10:

Upon successful installation Cloudera manager will start the cluster and we can start monitoring and use it via Cloudera manager and hue for small dev tasks.

Author

ALEX MAILAJALAM

Alex is a Big Data Evangelist and a Certified Big Data Engineer with many years of experience. He has helped clients to optimize custom Big Data Implementation, migrate legacy systems to Big Data ecosystem, and build integrated Big Data and Analytics solutions to help business leaders generate custom analytics without need of IT.

Share:

Latest Blogs

Tool Invocation Reliability Across GPT-5.2 and Claude Agent Systems

Intelligent Automation

23rd Mar 2026

Tool Invocation Reliability Across GPT-5.2 and Claude Agent Systems

Read More
4 Coordination Overheads in Multi-Agent Workflows at Enterprise Scale

Intelligent Automation

23rd Mar 2026

4 Coordination Overheads in Multi-Agent Workflows at Enterprise Scale

Read More
4 Operational Gaps Hyperautomation Solves Better Than Traditional Automation: A Mendix Perspective

Intelligent Automation

23rd Mar 2026

4 Operational Gaps Hyperautomation Solves Better Than Traditional Automation: A Mendix Perspective

Read More

Related Blogs

5 Failure Modes in Agent Memory Compression for Long Context Reasoning

Data & AI

17th Mar 2026

5 Failure Modes in Agent Memory Compression for Long Context Reasoning

Every time you resume a conversation where it left off, you rely on memory. AI...

Read More
3 Agent Memory Models for Long Context Reasoning in 2026 

Data & AI

10th Mar 2026

3 Agent Memory Models for Long Context Reasoning in 2026 

What Are Agent Memory Models?  Agent memory models are specialized architectural frameworks that enable AI...

Read More
High-Speed Vector Indexing for Low-Latency RAG Pipelines 

Data & AI

10th Mar 2026

High-Speed Vector Indexing for Low-Latency RAG Pipelines 

In production-scale RAG systems that deliver consistent low-latency performance, retrieval speed and caching strategy become...

Read More