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

About This Book

• 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

Who 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 Learn

• Understand the core concepts of Apache Storm and real-time processing
• Follow the steps to deploy multiple nodes of Storm Cluster
• Create Trident topologies to support various message-processing semantics
• Make your cluster sharing effective using Storm scheduling
• Integrate Apache Storm with other Big Data technologies such as Hadoop, HBase, Kafka, and more
• Monitor the health of your Storm cluster

In 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.

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Spis treści

Mastering Apache Storm. Real-time big data streaming using Kafka, Hbase and Redis eBook -- spis treści

• 1. Real-Time Processing and Storm Introduction
• 2. Deploying Storm in Cluster
• 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
• 12. Twitter Tweets Collection and Machine learning