MongoDB Applied Design Patterns [NOOK Book]

Overview

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.

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MongoDB Applied Design Patterns

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Overview

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
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Product Details

  • ISBN-13: 9781449340070
  • Publisher: O'Reilly Media, Incorporated
  • Publication date: 3/4/2013
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition number: 1
  • Pages: 176
  • Sales rank: 1262948
  • File size: 4 MB

Meet the Author

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.

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Table of Contents

Preface

Design Patterns

Chapter 1: To Embed or Reference

Chapter 2: Polymorphic Schemas

Chapter 3: Mimicking Transactional Behavior

Use Cases

Chapter 4: Operational Intelligence

Chapter 5: Ecommerce

Chapter 6: Content Management Systems

Chapter 7: Online Advertising Networks

Chapter 8: Social Networking

Chapter 9: Online Gaming

Afterword

Index

Colophon

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  • Posted Tue May 28 00:00:00 EDT 2013

    MongoDB Applied Design Patterns by Rick Copeland (O¿Reilly Media

    MongoDB Applied Design Patterns by Rick Copeland (O’Reilly Media) is another in a series of patterns books that I would highly recommend for the implementer that knows the technology but is trying to discover if a previous solution (via a pattern) has been found for their problem.

    As to the reader, MongoDB Applied Design Patterns is not for the MongoDB “Hello World” level implementer. There is a basic assumption that the reader understands how to implement basic MongoDB solutions and is now ready to implement more advanced solutions using established patterns. The Use Cases in the second half of the book were probably the most useful for me. It not only gave me ideas of how to solve certain patterns of problems, but allowed me to explore features of MongoDB that I had not had a chance to explore.

    I appreciated that Copeland explored several important topics at the beginning of the book. For example, he takes time to explain how important it is to MongoDB solutions for optimization to be considered at the beginning of the design vs. afterwards. Along with those lessons, Copeland provides detailed examples of the “why” instead of leaving the reader to just trust his statements.

    I’d highly recommend MongoDB Applied Design Patterns to the implementer that is ready to move beyond the basics and move into highly viable and scalable solutions using MongoDB pattern as their initial template.

    Disclaimer: I received a free electronic copy of this book as part of a Blogger Review Program
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