Cassandra: The Definitive Guide (Paperback)
Eben Hewitt
- 出版商: O'Reilly
- 出版日期: 2010-12-02
- 售價: $1,560
- 貴賓價: 9.5 折 $1,482
- 語言: 英文
- 頁數: 332
- 裝訂: Paperback
- ISBN: 1449390412
- ISBN-13: 9781449390419
-
相關分類:
NoSQL
-
其他版本:
Cassandra: The Definitive Guide: Distributed Data at Web Scale 3/e
買這商品的人也買了...
-
$880$695 -
$1,488C++ GUI Programming with Qt 4, 2/e (Hardcover)
-
$1,558Introduction to Algorithms, 3/e (IE-Paperback)
-
$1,560$1,482 -
$560$442 -
$1,710$1,625 -
$399Hadoop: The Definitive Guide, 2/e (Paperback)
-
$780$616 -
$680$537 -
$980$833 -
$480$408 -
$450$383 -
$420$332 -
$680$537 -
$580$458 -
$420$332 -
$4,275$4,061 -
$380$342 -
$1,130$961 -
$490$417 -
$360$284 -
$2,682Learning Python, 5/e (Paperback)
-
$480$379 -
$650$585 -
$1,575$1,496
相關主題
商品描述
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