Optimizing Cosmos DB for NoSQL with Custom Indexing Policies

Default indexing in NoSQL databases can often lead to high storage costs and inefficient query execution. Understanding how to tailor your database indexes to your specific query patterns is essential for building scalable, high-performance applications. This text-based course guides you through the mechanics of customizing indexing policies in Cosmos DB for NoSQL, helping you balance write latency, storage overhead, and query speed. What you'll learn: - Understand the fundamental concepts of indexing in NoSQL databases and how default policies operate. - Configure custom indexing policies using JSON definitions to include or exclude specific property paths. - Design composite indexes to optimize complex SQL queries with multiple filters or sorting requirements. - Monitor and measure Request Unit (RU) consumption to evaluate the efficiency of your indexing strategies. - Apply index tuning techniques to balance write performance against query execution speed. You will start with core database concepts and foundational terminology before exploring practical JSON configurations for single-path, composite, and spatial indexes. The written material takes you step-by-step through analyzing SQL queries and translating them into optimized indexing rules. This course is designed for software developers, database administrators, and cloud engineers who are new to database optimization. No prior experience with indexing policies is required, making it perfect for beginners looking to build solid foundational skills. Start reading today to unlock the full performance potential of your cloud database.