Data Modeling and Partitioning in Azure Cosmos DB

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.

#CosmosDBConf #CosmosDB #NoSQL