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Mastering Apache Storm

You're reading from   Mastering Apache Storm Real-time big data streaming using Kafka, Hbase and Redis

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Product type Paperback
Published in Aug 2017
Publisher
ISBN-13 9781787125636
Length 284 pages
Edition 1st Edition
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Author (1):
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Ankit Jain Ankit Jain
Author Profile Icon Ankit Jain
Ankit Jain
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Table of Contents (13) Chapters Close

Preface 1. Real-Time Processing and Storm Introduction FREE CHAPTER 2. Storm Deployment, Topology Development, and Topology Options 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 with Storm 12. Twitter Tweet Collection and Machine Learning

Kafka architecture

Kafka has an architecture that differs significantly from other messaging systems. Kafka is a peer to peer system (each node in a cluster has the same role) in which each node is called a broker. The brokers coordinate their actions with the help of a ZooKeeper ensemble. The Kafka metadata managed by the ZooKeeper ensemble is mentioned in the section Sharing ZooKeeper between Storm and Kafka:

Figure 8.1: A Kafka cluster

The following are the important components of Kafka:

Producer

A producer is an entity that uses the Kafka client API to publish messages into the Kafka cluster. In a Kafka broker, messages are published by the producer entity to named entities called topics. A topic is a persistent...

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