Cosmos DB (1 / 62): What is the purpose of denormalization in the context of Azure Cosmos DB data modeling?
Answer:
Denormalization in Azure Cosmos DB data modeling is used to optimize read queries. By storing related data together (denormalizing), you can retrieve all the data you need in a single query, reducing the need for multiple queries and improving performance.
Denormalization doesn't aim to reduce the number of containers, increase the number of request units consumed, or add more users to the platform; it's a strategy to optimize read operations by organizing data efficiently within containers.