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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

What you need for this book

All of the code in this book has been tested on CentOS 6.5. It will run on other variants of Linux and Windows as well with appropriate changes in commands.

We have tried to keep the chapters self-contained, and the setup and installation of all the software used in each chapter are included in the chapter itself. These are the software packages used throughout the book:

CentOS 6.5
Oracle JDK 8
Apache ZooKeeper 3.4.6
Apache Storm 1.0.2
Eclipse or Spring Tool Suite
Elasticsearch 2.4.4
Hadoop 2.2.2
Logstash 5.4.1
Kafka 0.9.0.1
Esper 5.3.0

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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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