MongoDB Applied Design Patterns

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.

Design Patterns
Chapter 1 To Embed or Reference
Relational Data Modeling and Normalization
MongoDB: Who Needs Normalization, Anyway?
Conclusion
Chapter 2 Polymorphic Schemas
Polymorphic Schemas to Support Object-Oriented Programming
Polymorphic Schemas Enable Schema Evolution
Polymorphic Schemas Support Semi-Structured Domain Data
Conclusion
Chapter 3 Mimicking Transactional Behavior
The Relational Approach to Consistency
Compound Documents
Using Complex Updates
Optimistic Update with Compensation
Conclusion
Use Cases
Chapter 4 Operational Intelligence
Storing Log Data
Pre-Aggregated Reports
Hierarchical Aggregation
Chapter 5 Ecommerce
Product Catalog
Category Hierarchy
Inventory Management
Chapter 6 Content Management Systems
Metadata and Asset Management
Storing Comments
Chapter 7 Online Advertising Networks
Solution Overview
Design 1: Basic Ad Serving
Design 2: Adding Frequency Capping
Design 3: Keyword Targeting
Chapter 8 Social Networking
Solution Overview
Schema Design
Operations
Sharding
Chapter 9 Online Gaming
Solution Overview
Schema Design
Operations
Sharding
Afterword
Where Do I Go from Here?
Index
Colophon