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!

Apache Crunch Tutorial 9: Reading & Ingesting Orc Files

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This post is the ninth in a hopefully substantive and informative series of posts about Apache Crunch, a framework for enabling Java developers to write Map-Reduce programs more easily for Hadoop.

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Guide to Apache Oozie #2: Understanding Workflows

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This series is designed to be a “get off the ground” guide to Apache Oozie, a job scheduling framework for Hadoop. Oozie offers multi-action workflow scheduling, ability to run actions in parallel, and great APIs. This guide is designed to help you answer your Oozie technical questions.

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Guide to Apache Oozie #1: Introducing Oozie

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This series is designed to be a “get off the ground” guide to Apache Oozie, a job scheduling framework for Hadoop. Oozie offers multi-action workflow scheduling, ability to run actions in parallel, and great APIs. This guide is designed to help you answer your Oozie technical questions. Continue reading

Getting Started with Apache Zeppelin

If Hindenburg taught us anything, you don’t want to mix Zeppelins with Sparks any day.

Apache Zeppelin, however, is a wonderful tool that combines Apache Spark with interactive data analytics and shareable notebooks and makes your big data usable!

Just don’t fill your computer with hydrogen gas.

Let’s get it installed and then do stuff! Continue reading

Guide to Apache Falcon #7: Updating Jobs

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This series is designed to be the ultimate guide on Apache Falcon, a data governance pipeline for Hadoop. Falcon excels at giving you control over workflow scheduling, data retention and replication, and data lineage. This guide will (hopefully) excel at helping you understand and use Falcon effectively. Continue reading

Guide to Apache Falcon #6: Monitoring Jobs

falcon-logo

This series is designed to be the ultimate guide on Apache Falcon, a data governance pipeline for Hadoop. Falcon excels at giving you control over workflow scheduling, data retention and replication, and data lineage. This guide will (hopefully) excel at helping you understand and use Falcon effectively. Continue reading