Designing Azure Non-Relational Data Storage Solutions

Selecting and structuring the right database is one of the most critical decisions in modern cloud architecture. This course guides you through the foundational concepts of non-relational data design on Azure, helping you choose the perfect storage model for any workload. You will transition from understanding basic database concepts to confidently recommending and designing scalable, secure, and cost-effective NoSQL storage architectures. What you'll learn: Understand the core differences between key-value, document, column-family, and graph data models; Design efficient partitioning and indexing strategies to optimize query performance and control costs; Configure Azure Cosmos DB and Azure Storage accounts to meet specific latency and availability requirements; Apply modern data patterns, including vector search capabilities for AI applications and global replication; Evaluate security, disaster recovery, and data consistency models for non-relational systems. The course begins with essential NoSQL terminology and data modeling principles before moving into architectural scenarios. Through structured text explanations and real-world design patterns, you will learn how to map business requirements to the ideal Azure storage service. This course is designed for aspiring cloud architects, developers, and data engineers who are new to non-relational database design. No prior cloud architecture experience is required. Start reading today to master the art of modern NoSQL database design on Azure.