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Mastering Apache Storm

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

Product type Paperback

Published in Aug 2017

Publisher

ISBN-13 9781787125636

Length 284 pages

Edition 1st Edition

Languages

Java

Tools

Apache Storm

Concepts

Big Data

Author (1):

Ankit Jain

View More author details

Table of Contents (13) Chapters

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

Storm prerequisites

You should have the Java JDK and ZooKeeper ensemble installed before starting the deployment of the Storm cluster.

Installing Java SDK 7

Perform the following steps to install the Java SDK 7 on your machine. You can also go with JDK 1.8:

Download the Java SDK 7 RPM from Oracle's site (http://www.oracle.com/technetwork/java/javase/downloads/index.html).
Install the Java jdk-7u<version>-linux-x64.rpm file on your CentOS machine using the following command:

sudo rpm -ivh jdk-7u<version>-linux-x64.rpm

Add the following environment variable in the ~/.bashrc file:

export JAVA_HOME=/usr/java/jdk<version>

Add the path of the bin directory of the JDK to the PATH system environment variable...

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Authors (1)

Jain

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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