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Real-time Analytics with Storm and Cassandra

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

Product type Book

Published in Mar 2015

Publisher

ISBN-13 9781784395490

Pages 220 pages

Edition 1st Edition

Languages

Concepts

Data Processing

Author (1):

Shilpi Saxena

Table of Contents (19) Chapters

Real-time Analytics with Storm and Cassandra

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

1. Let's Understand Storm

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

Quiz Answers

Index

Chapter 5. Storm High Availability and Failover

This chapter takes you to the next level in your journey through Storm, where we get you acquainted with the integration of Storm with other necessary components in the ecosystem. We will cover the concepts of high availability and reliability, practically.

This chapter is the next step in understanding the clustered mode setup of Storm and its associated components. We will understand the various configurations in Storm and Zookeeper and the concept behind them.

The topics that will be covered in this chapter are as follows:

Setting up RabbitMQ (single instance and clustered mode)
Developing the AMQP spout to integrate Storm and RabbitMQ
Creating a RabbitMQ feeder component
Building high availability for RabbitMQ and the Storm cluster
The Storm schedulers

By the end of this chapter, you will be able to set up and understand RabbitMQ and integrate Storm with RabbitMQ. Also, you will be able to test high availability and guaranteed processing of the...

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Authors (1)

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.

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