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Mastering Apache Storm
By :
Mastering Apache Storm
By:
Overview of this book
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.
Table of Contents (13 chapters)
Preface
Free Chapter
Real-Time 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
Customer Reviews
