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Apache Hadoop 3 Quick Start Guide

You're reading from   Apache Hadoop 3 Quick Start Guide Learn about big data processing and analytics

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788999830
Length 220 pages
Edition 1st Edition
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Author (1):
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Hrishikesh Vijay Karambelkar Hrishikesh Vijay Karambelkar
Author Profile Icon Hrishikesh Vijay Karambelkar
Hrishikesh Vijay Karambelkar
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Table of Contents (10) Chapters Close

Preface 1. Hadoop 3.0 - Background and Introduction 2. Planning and Setting Up Hadoop Clusters FREE CHAPTER 3. Deep Dive into the Hadoop Distributed File System 4. Developing MapReduce Applications 5. Building Rich YARN Applications 6. Monitoring and Administration of a Hadoop Cluster 7. Demystifying Hadoop Ecosystem Components 8. Advanced Topics in Apache Hadoop 9. Other Books You May Enjoy

Real-time streaming with Apache Storm

Apache Storm provides a distributed real-time computational capability for processing large amounts of data with high velocity. This is one of the reasons why it is being used primarily for real-time streaming data for rapid analytics. Storm is capable of processing over thousands of data records per second on a distributed cluster. Apache Storm runs on YARN framework and can connect with queues such as JMS and Kafka or to any type of database or it can listen to streaming APIs feeding information continuously, such as Twitter-streaming APIs and RSS feeds.

Apache Storm uses networks of spouts, bolts, and sinks called topology to address any kind of complex problems. Spouts represents a source where Storm is collecting information such as APIs, databases, or message queues. Bolts provide computation logic for an input stream and they produce...

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