Configuring Indexes in Azure Cosmos DB for NoSQL

Efficient query performance in cloud-scale NoSQL databases depends heavily on how your data is indexed. Without the right setup, your applications can face slow response times and high operational costs. This text-based course guides you through the core concepts of Azure Cosmos DB indexing, helping you write efficient indexing policies that balance read speed, write throughput, and storage costs. What you'll learn: - Understand foundational indexing concepts and how Azure Cosmos DB indexes data by default. - Configure custom single-path and composite indexes to optimize complex queries. - Manage indexing policies using JSON configurations to tailor index behavior to your application needs. - Optimize Request Unit (RU) usage by strategically excluding unused paths from indexing. - Explore modern indexing strategies, including vector indexing for AI-driven workloads. You will start with the fundamental terminology of NoSQL indexing before progressing to policy customization, performance tuning, and modern indexing patterns. This course is designed for beginner cloud database administrators, developers, and architects looking to optimize their database performance, with no prior Cosmos DB indexing experience required. Start reading today to build faster, more cost-effective cloud database solutions.