Model data relationships in Azure DocumentDB
Intermediate
Developer
Azure Cosmos DB
Model data relationships effectively in Azure DocumentDB. Analyze entity relationships using access patterns and cardinality, apply the embed-vs-reference decision framework, and implement one-to-one, one-to-many, and many-to-many relationship patterns with practical e-commerce examples.
Learning objectives
After completing this module, you'll be able to:
- Analyze entity relationships by identifying cardinality, access patterns, and update frequency.
- Apply the embed-vs-reference decision framework to determine the optimal modeling strategy.
- Implement one-to-one, one-to-many, and many-to-many relationship patterns including hybrid approaches.
Prerequisites
- Familiarity with database concepts such as queries, indexes, and data models.
- Basic understanding of MongoDB or document-oriented databases.
- Experience with insert, query, update, and delete operations in Azure DocumentDB or MongoDB.
- An Azure subscription.
- An Azure DocumentDB cluster.