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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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Chapter 7. Modeling for Availability

A well-designed data model is central to availability in Cassandra, while a poorly chosen model can substantially handicap your application's resiliency. This idea may seem counterintuitive to those with backgrounds in relational database systems, but this chapter may very well be the most critical one in this book.

It's not that data models are unimportant in relational systems, but they are especially critical when attempting to maintain availability in a large distributed database. In fact, this topic is probably the least understood and most difficult aspect of transitioning to Cassandra.

The data modeling problem is somewhat exacerbated by a familiar SQL-style syntax that can lure unsuspecting users into believing that they already understand the necessary principles. In reality, the similarity between Contextual Query Language  (CQL) and SQL ends with syntax. The underlying data structure is vastly different, and therefore...

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