Cassandra high performance cookbook : over 150 recipes to design and optimize large-scale Apache Cassandra deployments
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Bibliographic Information
Cassandra high performance cookbook : over 150 recipes to design and optimize large-scale Apache Cassandra deployments
（Quick answers to common problems）（Packt open source, . Community experience distilled）
Packt Pub., 2011
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Includes index
Description and Table of Contents
Description
You can mine deep into the full capabilities of Apache Cassandra using the 150+ recipes in this indispensable Cookbook. From configuring and tuning to using third party applications, this is the ultimate guide.
Key Features
Get the best out of Cassandra using this efficient recipe bank
Configure and tune Cassandra components to enhance performance
Deploy Cassandra in various environments and monitor its performance
Well illustrated, step-by-step recipes to make all tasks look easy!
Book DescriptionApache Cassandra is a fault-tolerant, distributed data store which offers linear scalability allowing it to be a storage platform for large high volume websites. This book provides detailed recipes that describe how to use the features of Cassandra and improve its performance. Recipes cover topics ranging from setting up Cassandra for the first time to complex multiple data center installations. The recipe format presents the information in a concise actionable form.The book describes in detail how features of Cassandra can be tuned and what the possible effects of tuning can be. Recipes include how to access data stored in Cassandra and use third party tools to help you out. The book also describes how to monitor and do capacity planning to ensure it is performing at a high level. Towards the end, it takes you through the use of libraries and third party applications with Cassandra and Cassandra integration with Hadoop.What you will learn
Interact with Cassandra using the command line interface
Write programs that access data in Cassandra
Configure and tune Cassandra components to enhance performance
Model data to optimize storage and access
Use tunable consistency to optimize data access
Deploy Cassandra in single and multiple data center environments
Monitor the performance of Cassandra
Manage a cluster by joining and removing nodes
Use libraries and third party applications with Cassandra
Integrate Cassandra with Hadoop
Who this book is forThis book is designed for administrators, developers, and data architects who are interested in Apache Cassandra for redundant, highly performing, and scalable data storage. Typically these users should have experience working with a database technology, multiple node computer clusters, and high availability solutions.
Table of Contents
Table of Contents
by "Nielsen BookData"
