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

Packt Publishing Ltd, 16.08.2017 - 284 Seiten

Master the intricacies of Apache Storm and develop real-time stream processing applications with ease

About This BookExploit the various real-time processing functionalities offered by Apache Storm such as parallelism, data partitioning, and moreIntegrate Storm with other Big Data technologies like Hadoop, HBase, and Apache KafkaAn easy-to-understand guide to effortlessly create distributed applications with StormWho This Book Is For

If you are a Java developer who wants to enter into the world of real-time stream processing applications using Apache Storm, then this book is for you. No previous experience in Storm is required as this book starts from the basics. After finishing this book, you will be able to develop not-so-complex Storm applications.

What You Will LearnUnderstand the core concepts of Apache Storm and real-time processingFollow the steps to deploy multiple nodes of Storm ClusterCreate Trident topologies to support various message-processing semanticsMake your cluster sharing effective using Storm schedulingIntegrate Apache Storm with other Big Data technologies such as Hadoop, HBase, Kafka, and moreMonitor the health of your Storm clusterIn Detail

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.

Style and approach

This easy-to-follow guide is full of examples and real-world applications to help you get an in-depth understanding of Apache Storm. This book covers the basics thoroughly and also delves into the intermediate and slightly advanced concepts of application development with Apache Storm.



RealTime Processing and Storm Introduction
Storm Deployment Topology Development and Topology Options
Storm Parallelism and Data Partitioning
Trident Introduction
Trident Topology and Uses
Storm Scheduler
Monitoring of Storm Cluster
Integration of Storm and Kafka
Storm and Hadoop Integration
Storm Integration with Redis Elasticsearch and HBase
Apache Log Processing with Storm
Twitter Tweet Collection and Machine Learning

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Autoren-Profil (2017)

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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