Getting Started with Cosmos DB NoSQL Development

Introduction to Azure Cosmos DB for NoSQL - What is Azure Cosmos DB for NoSQL - How does Azure Cosmos DB for NoSQL work - When should you use Azure Cosmos DB for NoSQL Try Azure Cosmos DB for NoSQL - Explore resources - Review basic operations Plan Resource Requirements - Understand throughput - Evaluate throughput requirements - Evaluate data storage requirements - Time-to-live (TTL) - Plan for data retention with time-to-live (TTL) Configure Azure Cosmos DB for NoSQL database and containers - Serverless - Compare serverless vs. provisioned throughput - Autoscale throughput - Compare autoscale vs. standard (manual) throughput - Migrate between standard (manual) and autoscale throughput Use the Azure Cosmos DB for NoSQL SDK - Understand the SDK - Import from package manager - Connect to an online account - Implement client singleton - Configure connectivity mode Configure the Azure Cosmos DB for NoSQL SDK - Enable offline development - Handle connection errors - Implement threading and parallelism - Configure logging Implement Azure Cosmos DB for NoSQL point operations - Understand point operations - Create documents - Read a document - Update documents - Configure time-to-live (TTL) value for a specific document - Delete documents Query the Azure Cosmos DB for NoSQL - Understand SQL query language - Create queries with SQL - Project query results - Implement type-checking in queries - Use built-in functions - Execute queries in the SDK Author complex queries with the Azure Cosmos DB for NoSQL - Create cross-product queries - Implement correlated subqueries - Implement variables in queries - Paginate query results Implement a non-relational data model - What's the difference between NoSQL and relational databases? - Identify access patterns for your app - When to embed or reference data - Choose a partition key - Model small lookup entities Design a data partitioning strategy - Denormalize data in your model - Manage referential integrity by using change feed - Combine multiple entities in the same container - Denormalize aggregates in the same container - Finalize the data model