| Description |
1 online resource (xxiii, 301 pages) : illustrations |
| Summary |
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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| SUBJECT |
Apache Cassandra (Computer system)
|
|
Apache Cassandra (Computer system) blmlsh |
| Subject |
Database management -- Computer programs.
|
|
Database Management Systems
|
|
Apache Cassandra (Computer system)
|
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Database management -- Computer programs.
|
| Form |
Electronic book
|
| ISBN |
9781449399764 |
|
1449399762 |
|
9781449396640 |
|
144939664X |
|
1449301843 |
|
9781449301842 |
|
