This practical guide offers a short course on scaling CouchDB to meet the capacity needs of your distributed application. Through a series of scenario-based examples, this book lets you explore several methods for creating a system that can accommodate growth and meet expected demand. In the process, you learn about several tools that can help you with replication, load balancing, clustering, and load testing and monitoring.
Create a MongoDB cluster that will to grow to meet the needs of your application. With this short and concise ebook, you’ll get guidelines for setting up and using clusters to store a large volume of data, and learn how to access the data efficiently. In the process, you’ll understand how to make your application work with a distributed database system.
Learn how to create MapReduce views in CouchDB that let you query the document-oriented database for meaningful data. With this short and concise ebook, you’ll get step-by-step instructions and lots of sample code to create and explore several MapReduce views, using an example database you construct.
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.
Three of CouchDB’s creators show you how to use this document-oriented database as a standalone application framework or with high-volume, distributed applications. With its simple model for storing, processing, and accessing data, CouchDB is ideal for web applications that handle huge amounts of loosely structured data. You’ll learn how to work with CouchDB through its RESTful web interface, and become familiar with key features such as simple document CRUD (create, read, update, delete), advanced MapReduce, deployment tuning, and more.
MongoDB, a cross-platform NoSQL database, is the fastest-growing new database in the world. MongoDB provides a rich document-oriented structure with dynamic queries that you’ll recognize from RDBMS offerings such as MySQL. In other words, this is a book about a NoSQL database that does not require the SQL crowd to re-learn how the database world works!