Why to buy: This hands-on guide explores how Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This third edition--updated for Cassandra 4.0--provides the technical details and practical examples for putting this scalable 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. This guide will help developers, DBAs, and application architects looking to solve a database scaling issue, future-proof applications, and harness Cassandra's speed and flexibility.
This book will assist readers to:
- Understand Cassandra's distributed and decentralized structure
- Use the Cassandra Query Language (CQL) and cqlish, 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 within a cluster
- Deploy Cassandra on site, in the Cloud, or with Docker
- Integrate Cassandra with Spark, Hadoop, Elasticsearch, Solr, and Lucene