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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

Working with Apache Kafka

Apache Kafka provides a data streaming pipeline across the cluster through its message service. It ensures a high degree of fault tolerance and message reliability through its architecture, and it also guarantees to maintain message ordering from a producer. A record in Kafka is a (key-value) pair along with a timestamp and it usually contains a topic name. A topic is a category of records on which the communication takes place.

Kafka supports producer-consumer-based messaging, which means producers can produce messages that can be sent to consumers. It maintains a queue of messages, where there is also an offset that represents its position or index. Kafka can be deployed on a multi-node cluster, as shown in the following diagram, where two producers and three consumers have been used as an example:

Producers produce multiple topics through producer...

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