Mastering Apache Storm: Real-time big data streaming using Kafka, Hbase and Redis - Softcover

Jain, Ankit

Softcover

ISBN 10: 1787125637 ISBN 13: 9781787125636

Publisher: Packt Publishing, 2017

Synopsis

Key Features

• Exploit the various real-time processing functionalities offered by Apache Storm such as parallelism, data partitioning, and more
• Integrate Storm with other Big Data technologies like Hadoop, HBase, and Apache Kafka
• An easy-to-understand guide to effortlessly create distributed applications with Storm

Book Description

Apache Storm is a real-time Big Data processing framework that processes large amounts of data reliably, guaranteeing that every message will be processed. Storm allows you to scale your data as it grows, making it an excellent platform to solve your big data problems. This extensive guide will help you understand right from the basics to the advanced topics of Storm.

The book begins with a detailed introduction to real-time processing and where Storm fits in to solve these problems. You'll get an understanding of deploying Storm on clusters by writing a basic Storm Hello World example. Next we'll introduce you to Trident and you'll get a clear understanding of how you can develop and deploy a trident topology. We cover topics such as monitoring, Storm Parallelism, scheduler and log processing, in a very easy to understand manner. You will also learn how to integrate Storm with other well-known Big Data technologies such as HBase, Redis, Kafka, and Hadoop to realize the full potential of Storm.

With real-world examples and clear explanations, this book will ensure you will have a thorough mastery of Apache Storm. You will be able to use this knowledge to develop efficient, distributed real-time applications to cater to your business needs.

What you will learn

• Understand the core concepts of Apache Storm and real-time processing
• Follow the steps

About this title

About the Author

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.

Edition details

• Publisher: Packt Publishing
• Publication date: 2017
• Language: English
• ISBN 10: 1787125637
• ISBN 13: 9781787125636
• Binding: Paperback
• Number of pages: 284