What could you do with data if scalability wasn"t a problem? With this hands-on guide, you"ll learn how Apache Cassandra handles hundreds of terabytes of data while remaining highly available across multiple data centers -- capabilities that have attracted Facebook, Twitter, and other data-intensive companies. Cassandra: The Definitive Guide provides the technical details and practical examples you need to assess this database management system and put it to work in a production environment. Author Eben Hewitt demonstrates the advantages of Cassandra"s nonrelational design, and pays special attention to data modeling. If you"re a developer, DBA, application architect, or manager looking to solve a database scaling issue or future-proof your application, this guide shows you how to harness Cassandra"s speed and flexibility.Understand the tenets of Cassandra"s column-oriented structure Learn how to write, update, and read Cassandra data Discover how to add or remove nodes from the cluster as your application requires Examine a working application that translates from a relational model to Cassandra"s data model Use examples for writing clients in Java, Python, and C# Use the JMX interface to monitor a cluster"s usage, memory patterns, and more Tune memory settings, data storage, and caching for better performance