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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

In this chapter, we discussed some common data modeling patterns to avoid. But it would be impossible to cover every bad choice a user might make, so it's important to focus on understanding the fundamentals of sound design. This will give you a foundation that will allow you to make correct data modeling decisions on whatever problem you may encounter.

As we have also seen in this chapter, sometimes Cassandra isn't the right tool for the problem at hand. Hopefully, you can now recognize when this is the case and choose the right tool for the right job.

It is now time to wrap up this book by taking a look at the ways in which things can go wrong when running Cassandra. While it is a highly fault-tolerant system, you will rest easier if you know what to do when the unexpected happens.

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