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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 (19) Chapters Close

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 FREE CHAPTER 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 8. Cassandra Management and Maintenance

In this chapter, we will learn about the gossip protocol of Cassandra. Thereafter, we will delve into Cassandra administration and management in terms of understanding scaling and reliability in action. This will equip you with the ability to handle situations that you would not like to come across but do happen in production, such as handling recoverable nodes, rolling restarts, and so on.

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

  • Cassandra—gossip protocol

  • Cassandra scaling—adding a new node to a cluster

  • Replacing a node

  • Replication factor changes

  • Node tool commands

  • Rolling restarts and fault tolerance

  • Cassandra monitoring tools

So, this chapter will help you understand the basics of Cassandra, as well as the various options required for the maintenance and management of Cassandra activities.

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