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Mastering Apache Storm

You're reading from   Mastering Apache Storm Real-time big data streaming using Kafka, Hbase and Redis

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Product type Paperback
Published in Aug 2017
Publisher
ISBN-13 9781787125636
Length 284 pages
Edition 1st Edition
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Author (1):
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Ankit Jain Ankit Jain
Author Profile Icon Ankit Jain
Ankit Jain
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Table of Contents (13) Chapters Close

Preface 1. Real-Time Processing and Storm Introduction FREE CHAPTER 2. Storm Deployment, Topology Development, and Topology Options 3. Storm Parallelism and Data Partitioning 4. Trident Introduction 5. Trident Topology and Uses 6. Storm Scheduler 7. Monitoring of Storm Cluster 8. Integration of Storm and Kafka 9. Storm and Hadoop Integration 10. Storm Integration with Redis, Elasticsearch, and HBase 11. Apache Log Processing with Storm 12. Twitter Tweet Collection and Machine Learning

Installation of Hadoop

Now that we have seen both the storage and processing parts of a Hadoop cluster, let's get started with the installation of Hadoop. We will be using Hadoop 2.2.0 in this chapter. Please note that this version is not compatible with Hadoop 1.X versions.

We will be setting up a cluster on a single node. Before starting, please make sure that you have the following installed on your system:

  • JDK 1.7
  • ssh-keygen

In case you don't have wget or ssh-keygen, install it with the following command:

# yum install openssh-clients  

Next, we will need to set up a passwordless SSH on this machine as it is required for Hadoop.

Setting passwordless SSH

The following are the steps for setting up a passwordless...

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