Ambari Views: Introduction

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If you’ve spent any time with a Hortonworks Data Platform cluster, you’re familiar with Ambari. It’s one of the finest, open source cluster management tools that allows you to easily first launch a cluster, add or remove nodes, change configurations and add services to your cluster. Using Ambari takes a lot of the guesswork out of managing a hadoop cluster and I absolutely love it.

The one downside of Ambari is that it can be tedious to add functionality to the core client. For that reason, the smart people building the tool in Apache decided to add something called an Ambari View. An Ambari View is a way to extend the functionality of Ambari without going down the rabbit hole of modifying Ambari’s source code. Views are essentially plug-and-play tools that only require restarting your cluster to work.

In the following blog post, I’ll discuss getting your View off the ground and show you several tips about actually using them.

Next Post: Apache Ambari: Hello World!

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Apache Ambari: Hello World!

Ambari-logo-300x141

Hello World with Ambari Views

Previously, I gave a brief overview of what an Ambari View is and how it can be beneficial to you.Let’s dive in! Continue reading

The Basics of Administrating a Hadoop Cluster

So assuming you followed and completed my first post, Getting Started with Hortonworks Data Platform 2.3, you should now have your very own Hadoop cluster (albeit, it pales slightly to Yahoo!’s reported 4,500 node cluster).

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Getting Started with Hortonworks Data Platform 2.3

As my first post, I’m going to walk through setting up Hortonworks Data Platform (HDP) 2.3. HDP is very nice because it is free to use at any level for any sized cluster, from curious developers with virtual environments to Fortune 50 companies with 100+ node clusters. The cost comes from requiring support on Hortonworks‘ software. To get your very own Hadoop cluster going, read on!
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