The book delves into Azure Cosmos DB, exploring its key features and functionalities that empower developers to build scalable, globally distributed applications. The content covers various Cosmos DB APIs, including the SQL API, Table API, MongoDB API, and Gremlin API, explaining how each is tailored for different types of data models such as document, key-value, graph, and time-series data. The book emphasizes Cosmos DB's unique ability to support multi-region replication, offering automatic data synchronization and ensuring high availability and low latency across the globe. In-depth coverage is provided on topics like consistency levels, including strong consistency and bounded staleness, and how these levels impact performance. Readers learn about Cosmos DB's partitioning strategies, role-based access control (RBAC), conflict resolution policies, and how the platform ensures data durability and security across multiple regions. The book also details the Cosmos DB Emulator, which helps developers simulate a local Cosmos DB environment for testing, and how to scale applications efficiently using features like throughput control. It highlights the use of Cosmos DB for enterprise applications, including migrating data from on-premises SQL databases using Azure services, and offers insights into tools for managing Cosmos DB instances effectively. Overall, the book serves as a comprehensive guide for developers and architects looking to leverage the full potential of Azure Cosmos DB to build resilient, high-performance applications in the cloud.
