This session presents an overview of Azure Cosmos DB, a globally distributed, massively scalable, low (single-digit millisecond) latency, fully managed NoSQL database service that is designed specifically for modern web and mobile applications. Like other NoSQL platforms, Cosmos DB supports a schema-free data model, built-in partitioning for sustained heavy-write ingestion, and replication for high availability. But only Cosmos DB offers turnkey global distribution, automatic indexing, and SLAs for guarantees on 99.99 percent availability, throughput, latency, and consistency.
You'll start off learning about NoSQL databases in general, and how they compare with traditional relational database platforms. Then you'll tour the many features of Cosmos DB, including its multi-model capabilities which let you store and query schema-free JSON documents (using either DocumentDB or MongoDB APIs), graphs (Gremlin API), and key/value entities (tables API). You'll learn about global distribution, scale-out partitioning, tunable consistency, custom indexing, attachments, and more. You'll also explore client development using the many available SDKs and APIs.
You will learn:
- NoSQL databases, and Microsoft Azure Cosmos DB
- The differences between NoSQL and relational database platforms, and when to choose one or the other for your next application
- About the unique NoSQL features of Cosmos DB, including global distribution, server-side partitioning, multi-model support, rich query over schema-free data, client development, server-side programming, tunable consistency, indexing, and attachments