Résumé
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
L'auteur - Eben Hewitt
Eben Hewitt is Director of Application Architecture at a publicly traded company where he is responsible for the design of their mission-critical, global-scale web, mobile and SOA integration projects. He has written several programming books, including Java SOA Cookbook (O'Reilly).
Caractéristiques techniques
PAPIER | |
Éditeur(s) | O'Reilly |
Auteur(s) | Eben Hewitt |
Parution | 29/12/2010 |
Nb. de pages | 302 |
Format | 18 x 23.5 |
Couverture | Broché |
Poids | 544g |
Intérieur | Noir et Blanc |
EAN13 | 9781449390419 |
ISBN13 | 978-1-4493-9041-9 |
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