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Learning Real-time Analytics with Storm and Cassandra

You're reading from   Learning Real-time Analytics with Storm and Cassandra Solve real-time analytics problems effectively using Storm and Cassandra

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Product type Paperback
Published in Mar 2015
Publisher
ISBN-13 9781784395490
Length 220 pages
Edition 1st Edition
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Author (1):
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Shilpi Saxena Shilpi Saxena
Author Profile Icon Shilpi Saxena
Shilpi Saxena
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Toc

Table of Contents (14) Chapters Close

Preface 1. Let's Understand Storm FREE CHAPTER 2. Getting Started with Your First Topology 3. Understanding Storm Internals by Examples 4. Storm in a Clustered Mode 5. Storm High Availability and Failover 6. Adding NoSQL Persistence to Storm 7. Cassandra Partitioning, High Availability, and Consistency 8. Cassandra Management and Maintenance 9. Storm Management and Maintenance 10. Advance Concepts in Storm 11. Distributed Cache and CEP with Storm A. Quiz Answers Index

An overview of RabbitMQ

The punch line that goes for RabbitMQ is Messaging that just works.

RabbitMQ is one of the most widely used implementations of the AMQP messaging protocol that provides a platform for message receipt and delivery. This in-memory queue also has the capacity to hold and retain messages till they are consumed by a consumer. This flexible brokering system is very easy to use and works on most of the operating systems such as windows, UNIX, and so on.

RabbitMQ is an implementation of the Advanced Message Queuing Protocol (AMQP). As depicted in the following figure, the vital components of RabbitMQ are exchange and Queue:

An overview of RabbitMQ

The publisher and the consumer are two essential actors; the former generates the messages and publishes them to the exchange, which in turn (depending upon its type) publishes the message from the publisher to the queue and from the queue to the consumer, who picks up the message.

The point to note is that here the publisher interacts with the exchange...

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