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