Eben Hewitt is a Principal on the architecture team at a multi-billion dollar national retail company, where he has been focused on designing and building their Service Oriented Architecture. He has worked in IT for ten years, working on large-scale web and SOA integration projects, distributed software, and messaging systems. Hewitt is the author of four previous programming books, several industry articles, and is a contributor to the O'Reilly book 97 Things Every Software Architect Should Know, edited by Richard Monson-Haefel. He is a popular speaker at industry conferences and local user groups.
Cassandra: The Definitive Guideby 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. Cassandra: The Definitive Guide provides the/i>… See more details below
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
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