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Cassandra 3.x High Availability

Cassandra 3.x High Availability

By : Strickland
3.8 (6)
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Cassandra 3.x High Availability

Cassandra 3.x High Availability

3.8 (6)
By: Strickland

Overview of this book

Apache Cassandra is a massively scalable, peer-to-peer database designed for 100 percent uptime, with deployments in the tens of thousands of nodes, all supporting petabytes of data. This book offers a practical insight into building highly available, real-world applications using Apache Cassandra. The book starts with the fundamentals, helping you to understand how Apache Cassandra’s architecture allows it to achieve 100 percent uptime when other systems struggle to do so. You’ll get an excellent understanding of data distribution, replication, and Cassandra’s highly tunable consistency model. Then we take an in-depth look at Cassandra's robust support for multiple data centers, and you’ll see how to scale out a cluster. Next, the book explores the domain of application design, with chapters discussing the native driver and data modeling. Lastly, you’ll find out how to steer clear of common anti-patterns and take advantage of Cassandra’s ability to fail gracefully.
Table of Contents (10 chapters)
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Summary

At this point, you should have a strong grasp of Cassandra's data distribution architecture, including consistent hashing, tokens, vnodes, and partitioners, as well as some of the causes of data hotspots. Your understanding of these fundamentals should help you to make sound design decisions that enable you to scale your cluster effectively and get the most out of your infrastructure investment.

In this chapter and the previous one, we've made reference a number of times to replication and its related concepts. In our next chapter, we'll discuss replication in depth, as replication is very important in determining the availability of data.

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