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Mastering Apache Storm

You're reading from Mastering Apache Storm

Product type Book

Published in Aug 2017

Publisher

ISBN-13 9781787125636

Pages 284 pages

Edition 1st Edition

Languages

Concepts

Data Processing

Author (1):

Ankit Jain

Table of Contents (19) Chapters

Title Page

Credits

About the Author

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

1. Real-Time Processing and Storm Introduction

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 SSH:

Generate your SSH key pair by executing the following command:

$ ssh-keygen -t rsa -P ''Generating public/private rsa key pair.Enter file in which to save the key (/home/anand/.ssh/id_rsa): Your identification has been saved in /home/anand/.ssh/id_rsa.Your public key has been saved in...

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Authors (1)

Ankit Jain

Ankit Jain holds a bachelor's degree in computer science and engineering. He has 6 years, experience in designing and architecting solutions for the big data domain and has been involved with several complex engagements. His technical strengths include Hadoop, Storm, S4, HBase, Hive, Sqoop, Flume, Elasticsearch, machine learning, Kafka, Spring, Java, and J2EE. He also shares his thoughts on his personal blog. You can follow him on Twitter at @mynameisanky. He spends most of his time reading books and playing with different technologies. When not at work, he spends time with his family and friends watching movies and playing games.

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