Imagine what you could do if scalability wasn't a problem. With this hands-on guide, youβll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This expanded second editionβupdated for Cassandra 3.0βprovides 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 Cassandraβs non-relational design, with special attention to data modeling. If youβre a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you harness Cassandraβs speed and flexibility.
Understand Cassandraβs distributed and decentralized structure
Use the Cassandra Query Language (CQL) and cqlshβthe 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