Building Scalable, Flexible Database-Based Applications
Today's highly interactive websites pose a challenge for traditional SQL databases - the ability to scale rapidly and serve loads of concurrent users. With this concise guide, you'll learn how to build web applications on top of Couchbase Server 2.0, a NoSQL database that can handle websites and social more » media where hundreds of thousands of users read and write large volumes of information.
Using food recipe information as examples, this book demonstrates how to take advantage of Couchbase's document-oriented database design, and how to store and query data with various CRUD operations. Discover why Couchbase is better than SQL databases with memcached tiers for managing data from the most interactive portions of your application. « less
Rapid Prototyping and Scalable Deployment
HBase is a NoSQL storage system designed for fast, random access to large volumes of data. It runs on commodity hardware and scales smoothly from modest datasets to billions of rows and millions of columns.
HBase in Action is an experience-driven guide that shows you how to design, build, and run more » applications using HBase. First, it introduces you to the fundamentals of handling big data. Then, you'll explore HBase with the help of real applications and code samples and with just enough theory to back up the practical techniques. You'll take advantage of the MapReduce processing framework and benefit from seeing HBase best practices in action. « less
Step-by-step instructions and practical examples to creating web applications with Ruby and MongoDB. Learn to design the object model in a NoSQL way. Create objects in Ruby and map them to MongoDB. Learn about Mongoid and MongoMapper for mapping Ruby objects to MongoDB documents. Process large datasets more » with MapReduce. Create geo-spatial indexes or 2D indexes. « less
A Guide to Modern Databases and the NoSQL Movement
Data is getting bigger and more complex by the day, and so are the choices in handling that data. As a modern application developer you need to understand the emerging field of data management, both RDBMS and NoSQL. Seven Databases in Seven Weeks takes you on a tour of some of the hottest open source more » databases today. In the tradition of Bruce A. Tate's Seven Languages in Seven Weeks, this book goes beyond your basic tutorial to explore the essential concepts at the core each technology.
Redis, Neo4J, CouchDB, MongoDB, HBase, Riak and Postgres. With each database, you'll tackle a real-world data problem that highlights the concepts and features that make it shine. You'll explore the five data models employed by these databases-relational, key / value, columnar, document and graph-and which kinds of problems are best suited to each. « less
A Guide to the New Generation of Data Tools
To help you navigate the large number of new data tools available, this guide describes 60 of the most recent innovations, from NoSQL databases and MapReduce approaches to machine learning and visualization tools. Descriptions are based on first-hand experience with these tools in a production environment.
This more » handy glossary also includes a chapter of key terms that help define many of these tool categories: NoSQL Databases, MapReduce, Storage, Servers, Processing, Natural Language Processing, Machine Learning, Visualization, Acquisition, Serialization. « less
MongoDB in Action is a comprehensive guide to MongoDB for application developers. The book begins by explaining what makes MongoDB unique and describing its ideal use cases. A series of tutorials designed for MongoDB mastery then leads into detailed examples for leveraging MongoDB in e-commerce, social more » networking, analytics, and other common applications.
MongoDB in Action introduces you to MongoDB and the document-oriented database model. This perfectly paced book provides both the big picture you'll need as a developer and enough low-level detail to satisfy a system engineer. Numerous examples will help you develop confidence in the crucial area of data modeling. You'll also love the deep explanations of each feature, including replication, auto-sharding, and deployment. « less
Learn to build PHP-powered dynamic web applications using MongoDB as the data backend. Handle user sessions, store real-time site analytics, build location-aware web apps, and much more, all using MongoDB and PHP. Full of step-by-step instructions and practical examples, along with challenges to test more » and improve your knowledge. « less
Practical Techniques for Fast Data Manipulation
Two years since its initial release, Redis already has an impressive list of adopters, including Engine Yard, GitHub, Craigslist, and Digg. This open source data structure server is built for speed and flexibility, making it ideal for many applications. If you're using Redis, or considering it, this more » concise cookbook provides recipes for a variety of issues you're likely to face.
Each recipe solves a specific problem, and provides an in-depth discussion of how the solution works. You'll discover that Redis, while simple in nature, offers extensive functionality for manipulating and storing data. « less
Powerful and Scalable Data Storage
How does MongoDB help you manage a huMONGOus amount of data collected through your web application? With this authoritative introduction, you'll learn the many advantages of using document-oriented databases, and discover why MongoDB is a reliable, high-performance system that allows for almost infinite more » horizontal scalability.
Written by engineers from 10gen, the company that develops and supports this open source database, MongoDB: The Definitive Guide provides guidance for database developers, advanced configuration for system administrators, and an overview of the concepts and use cases for other people on your project. Learn how easy it is to handle data as self-contained JSON-style documents, rather than as records in a relational database. « less