Mongodb Applied Design Patterns

Whether youre 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 its designed to solve. Youll 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, youll 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

Whether you're building the newest and hottest social media web site or developing an internal-use-only enterprise business intelligence application, scaling your data model has never been more important. Traditional relational databases, while familiar, present significant challenges and complications when trying to scale up to such "big data" needs. Into this world steps MongoDB, a leading NoSQL database, to address these scaling challenges while also simplifying the process of development.

However, in all the hype surrounding big data, many sites have launched their business on NoSQL databases without an understanding of the techniques necessary to effectively use the features of their chosen database. MongoDB Applied Design Patterns provides the much-needed connection between the features of MongoDB and the business problems that it is suited to solve. The book's focus on the practical aspects of the MongoDB implementation makes it an ideal purchase for developers charged with bringing MongoDB's scalability to bear on the particular problem you've been tasked to solve.

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.