Mongodb Applied Design Patterns: Practical Use Cases with the Leading Nosql Database (Paperback or Softback)

Whether you’re building a social media site or an internal-use enterprise application, this hands-on guide shows you the connection between MongoDB and the business problems it’s designed to solve. You’ll learn how to apply MongoDB design patterns to several challenging domains, such as ecommerce, content management, and online gaming. Using Python and JavaScript code examples, you’ll discover how MongoDB lets you scale your data model while simplifying the development process.

Many businesses launch NoSQL databases without understanding the techniques for using their features most effectively. This book demonstrates the benefits of document embedding, polymorphic schemas, and other MongoDB patterns for tackling specific big data use cases, including:

• Operational intelligence: Perform real-time analytics of business data
• Ecommerce: Use MongoDB as a product catalog master or inventory management system
• Content management: Learn methods for storing content nodes, binary assets, and discussions
• Online advertising networks: Apply techniques for frequency capping ad impressions, and keyword targeting and bidding
• Social networking: Learn how to store a complex social graph, modeled after Google+
• Online gaming: Provide concurrent access to character and world data for a multiplayer role-playing game

Rick Copeland is the Principal Consultant and Founder at Arborian Consulting, a business focusing on MongoDB and Python custom development and training. Rick is a frequent speaker at MongoDB events, an avid MongoDB enthusiast, and is a charter member of 10gen's "Masters of MongoDB." In the non-MongoDB side of things, Rick is also a well-known Python developer and member of the Python Software Foundation, having contributed to a number of open-source projects and spoken at various evens and user groups.

Rick is also the author of Essential SQLAlchemy, a book published by O'Reilly that introduces the reader to the excellent SQLAlchemy Python database toolkit.