Cassandra: The Definitive Guide, 2nd Edition
Distributed Data at Web Scale
Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you'll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This expanded second edition - updated for Cassandra 3.0 - provides the technical details and practical examples you need to put this database to work in a production environment.
Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra's non-relational design, with special attention to data modeling. If you're a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you harness Cassandra's speed and flexibility.
Understand Cassandra's distributed and decentralized structure; Use the Cassandra Query Language (CQL) and cqlsh - the CQL shell; Create a working data model and compare it with an equivalent relational model; Develop sample applications using client drivers for languages including Java, Python, and Node.js; Explore cluster topology and learn how nodes exchange data; Maintain a high level of performance in your cluster; Deploy Cassandra on site, in the Cloud, or with Docker; Integrate Cassandra with Spark, Hadoop, Elasticsearch, Solr, and Lucene.
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