MongoDB Applied Design Patterns: Practical Use Cases with the Leading NoSQL Database
Language: English
Published by O'Reilly Media, 2013
- Softcover
- New
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In English.
Seller Inventory # ria9781449340049_new
- Title
- MongoDB Applied Design Patterns: Practical Use Cases with the Leading NoSQL Database
- Author
- Copeland, Rick
- Publisher
- O'Reilly Media
- Publication year
- 2013
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1449340040
- ISBN 13
- 9781449340049
- Item weight
- 458 grams
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
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
Ria Christie Collections
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