

Rick Copeland is a senior software engineer with retail analytics firm Predictix, LLC, where he uses SQLAlchemy extensively, primarily for web application development.
Meer over Rick CopelandMongoDB Applied Design Patterns
Practical Use Cases with the Leading NoSQL Database
Samenvatting
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
Specificaties
Inhoudsopgave
Part 1: Design Patterns
1. To Embed or Reference
-Relational Data Modeling and Normalization
-MongoDB: Who Needs Normalization, Anyway?
-Conclusion
2. Polymorphic Schemas
-Polymorphic Schemas to Support Object-Oriented Programming
-Polymorphic Schemas Enable Schema Evolution
-Polymorphic Schemas Support Semi-Structured Domain Data
-Conclusion
3. Mimicking Transactional Behavior
-The Relational Approach to Consistency
-Compound Documents
-Using Complex Updates
-Optimistic Update with Compensation
-Conclusion
Part 2: Use Cases
4. Operational Intelligence
-Storing Log Data
-Pre-Aggregated Reports
-Hierarchical Aggregation
5. Ecommerce
-Product Catalog
-Category Hierarchy
-Inventory Management
6. Content Management Systems
-Metadata and Asset Management
-Storing Comments
7. Online Advertising Networks
-Solution Overview
-Design 1: Basic Ad Serving
-Design 2: Adding Frequency Capping
-Design 3: Keyword Targeting
8. Social Networking
-Solution Overview
-Schema Design
-Operations
-Sharding
9. Online Gaming
-Solution Overview
-Schema Design
-Operations
-Sharding
-Afterword
-Where Do I Go from Here?
Index
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