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Eben Hewitt, ""

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. 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

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