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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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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

Chapter 4. Storm in a Clustered Mode

We have now arrived at the next step in our journey with Storm, that is, to understand the clustered mode setup of Storm and its associated components. We will go through the various configurations in Storm and Zookeeper, and understand the concepts behind them.

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

  • Setting up the Storm cluster
  • Understanding the configuration of the cluster and its impact on the functioning of the system
  • The Storm UI and understanding the UI parameters
  • Provisioning and monitoring applications for production setups

By the end of the chapter, you should be able to understand configurations of Storm and Zookeeper nodes. Also, you should be able to understand the Storm UI and set up Storm clusters and monitor them using various tools.

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