Designing Databases with Azure Cosmos DB for MongoDB

Migrating to the cloud or building modern applications requires databases that can scale globally without sacrificing performance. Designing an Azure Cosmos DB database using the MongoDB API allows you to leverage your existing MongoDB skills while taking advantage of a fully managed, globally distributed cloud database. This written course guides you through the core principles of data modeling, partitioning, and indexing in a cloud-native environment. You will gain the confidence to structure your document data efficiently, optimize database performance, and manage costs effectively using modern cloud database strategies. What you'll learn: - Understand the foundational architecture of Azure Cosmos DB and how the MongoDB API translates commands. - Design efficient document schemas by choosing between embedding and referencing data. - Select optimal partition keys to distribute data evenly and prevent hot partitions. - Configure indexing policies to speed up queries while managing write performance. - Apply modern security practices, including role-based access control (RBAC) and data encryption. - Optimize costs by choosing between provisioned throughput, autoscale, and serverless capacity modes. You will start with core NoSQL concepts and Azure Cosmos DB terminology before moving into practical data modeling scenarios. Through written explanations and realistic configuration examples, you will learn how to design, scale, and secure your database for production-ready applications. This course is designed for database administrators, software developers, and cloud architects who are new to Azure Cosmos DB or want to transition their MongoDB expertise to the cloud. No prior cloud database experience is required, though a basic understanding of database concepts is helpful. Start reading today to master cloud-native database design with Azure Cosmos DB for MongoDB.