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Mastering Apache Storm
Mastering Apache Storm

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

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Mastering Apache Storm

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Key benefits

  • 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

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.

Who is this book 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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 16, 2017
Length: 284 pages
Edition : 1st
Language : English
ISBN-13 : 9781787120402
Vendor :
Apache
Category :
Languages :
Tools :

What do you get with eBook?

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Product Details

Publication date : Aug 16, 2017
Length: 284 pages
Edition : 1st
Language : English
ISBN-13 : 9781787120402
Vendor :
Apache
Category :
Languages :
Tools :

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Frequently bought together


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Total 10,651.97
Apache Kafka 1.0 Cookbook
₹2904.99
Building Data Streaming Applications with Apache Kafka
₹3649.99
Mastering Apache Storm
₹4096.99
Total 10,651.97 Stars icon
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Table of Contents

12 Chapters
Real-Time Processing and Storm Introduction Chevron down icon Chevron up icon
Storm Deployment, Topology Development, and Topology Options Chevron down icon Chevron up icon
Storm Parallelism and Data Partitioning Chevron down icon Chevron up icon
Trident Introduction Chevron down icon Chevron up icon
Trident Topology and Uses Chevron down icon Chevron up icon
Storm Scheduler Chevron down icon Chevron up icon
Monitoring of Storm Cluster Chevron down icon Chevron up icon
Integration of Storm and Kafka Chevron down icon Chevron up icon
Storm and Hadoop Integration Chevron down icon Chevron up icon
Storm Integration with Redis, Elasticsearch, and HBase Chevron down icon Chevron up icon
Apache Log Processing with Storm Chevron down icon Chevron up icon
Twitter Tweet Collection and Machine Learning Chevron down icon Chevron up icon

Customer reviews

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1 star 100%
Raghav Alagh Feb 16, 2024
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Worst Book. Nothing explained clearly, just waste of money
Amazon Verified review Amazon
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