Cassandra : The Definitive Guide
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- Nombre de pages336
- FormatMulti-format
- ISBN978-1-4493-9042-6
- EAN9781449390426
- Date de parution12/11/2010
- Protection num.NC
- Infos supplémentairesMulti-format incluant PDF sans p...
- ÉditeurO'Reilly
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 Guideprovides 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
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
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 Guideprovides 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
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
A propos de Eben Hewitt
46,50 €