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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What is a Hadoop Developer?

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The Big Data industry has a problem: what makes a Hadoop Developer? Is it someone who has general knowledge about the many tools available in a typical Hadoop ecosystem? Or is it someone who regularly commits to the Apache projects and pushes Hadoop to new levels? I think it’s somewhere in the middle of both. Continue reading