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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
Author (1):
Shilpi Saxena Shilpi Saxena
Profile icon 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 7. Cassandra Partitioning, High Availability, and Consistency

In this chapter, you will understand the internals of Cassandra to learn how data partitioning is implemented and you'll learn about the hashing technique employed on Cassandra's keyset distribution. We will also get an insight into replication and how it works, and the feature of hinted handoff. We will cover the following topics:

  • Data partitioning and consistent hashing; we'll look at practical examples

  • Replication, consistency, and high availability

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