For many newcomers to Azure Cosmos DB, the learning process starts with data modeling and partitioning. How should you structure your model? When should you combine multiple entity types in a single container? Should you de-normalize your entities? What's the best partition key for your data? In this session, we discuss the key strategies for modeling and partitioning data effectively in Azure Cosmos DB. Using a real-world NoSQL example based on the AdventureWorks relational database, we explore key Azure Cosmos DB concepts—request units (RUs), partitioning, and data modeling—and how their understanding guides the path to a data model that yields the best performance and scalability. Attend this session, and acquire the critical skills you'll need to design the optimal database for Azure Cosmos DB.
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