Designing DynamoDB Tables with LSIs and GSIs

Designing efficient NoSQL databases requires a solid grasp of how data is structured and queried. If you want to build fast, scalable cloud applications, mastering DynamoDB table creation and indexing is an essential first step. This text-only course guides you through the foundational concepts of DynamoDB, from setting up your very first table to configuring advanced indexing strategies. You will learn how to design schemas that minimize latency and maximize query efficiency using real-world data modeling scenarios. What you'll learn: - Understand core DynamoDB concepts, including partition keys, sort keys, and provisioning. - Create and configure DynamoDB tables using best practices for schema design. - Implement Local Secondary Indexes (LSIs) to query data using alternative sort keys. - Configure Global Secondary Indexes (GSIs) to enable flexible querying across your entire dataset. - Apply modern NoSQL design patterns to avoid common indexing pitfalls and control costs. - Analyze application query patterns to choose the right indexing strategy for your workload. The course starts with essential NoSQL terminology and basic table structures before moving into step-by-step written walkthroughs of index configuration. You will practice through clear explanations, conceptual schema designs, and practical configuration snippets. This course is designed for beginner developers, database administrators, and cloud enthusiasts who are new to DynamoDB. No prior NoSQL experience is required to get started. Start reading today to build faster, more efficient cloud databases.