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You're reading from  Real-time Analytics with Storm and Cassandra

Product typeBook
Published inMar 2015
Reading LevelIntermediate
Publisher
ISBN-139781784395490
Edition1st Edition
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Author (1)
Shilpi Saxena
Shilpi Saxena
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Shilpi Saxena

Shilpi Saxena is an IT professional and also a technology evangelist. She is an engineer who has had exposure to various domains (machine to machine space, healthcare, telecom, hiring, and manufacturing). She has experience in all the aspects of conception and execution of enterprise solutions. She has been architecting, managing, and delivering solutions in the Big Data space for the last 3 years; she also handles a high-performance and geographically-distributed team of elite engineers. Shilpi has more than 12 years (3 years in the Big Data space) of experience in the development and execution of various facets of enterprise solutions both in the products and services dimensions of the software industry. An engineer by degree and profession, she has worn varied hats, such as developer, technical leader, product owner, tech manager, and so on, and she has seen all the flavors that the industry has to offer. She has architected and worked through some of the pioneers' production implementations in Big Data on Storm and Impala with autoscaling in AWS. Shilpi has also authored Real-time Analytics with Storm and Cassandra (https://www.packtpub.com/big-data-and-business-intelligence/learning-real-time-analytics-storm-and-cassandra) with Packt Publishing.
Read more about Shilpi Saxena

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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:

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 and...

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Real-time Analytics with Storm and Cassandra
Published in: Mar 2015Publisher: ISBN-13: 9781784395490

Author (1)

author image
Shilpi Saxena

Shilpi Saxena is an IT professional and also a technology evangelist. She is an engineer who has had exposure to various domains (machine to machine space, healthcare, telecom, hiring, and manufacturing). She has experience in all the aspects of conception and execution of enterprise solutions. She has been architecting, managing, and delivering solutions in the Big Data space for the last 3 years; she also handles a high-performance and geographically-distributed team of elite engineers. Shilpi has more than 12 years (3 years in the Big Data space) of experience in the development and execution of various facets of enterprise solutions both in the products and services dimensions of the software industry. An engineer by degree and profession, she has worn varied hats, such as developer, technical leader, product owner, tech manager, and so on, and she has seen all the flavors that the industry has to offer. She has architected and worked through some of the pioneers' production implementations in Big Data on Storm and Impala with autoscaling in AWS. Shilpi has also authored Real-time Analytics with Storm and Cassandra (https://www.packtpub.com/big-data-and-business-intelligence/learning-real-time-analytics-storm-and-cassandra) with Packt Publishing.
Read more about Shilpi Saxena