DynamoDB Fundamentals: Data Modeling and Design

Modern applications demand highly scalable and performant databases, and DynamoDB is a leading choice for many. However, mastering its unique NoSQL design principles is crucial for building robust solutions. This course will equip you with the foundational knowledge to effectively model and design data for DynamoDB, ensuring your applications perform optimally and scale effortlessly. What you'll learn: * Understand DynamoDB's core concepts: tables, items, attributes, and data types. * Learn to choose between primary key types: simple and composite, and their impact on data access. * Apply best practices for data modeling, including denormalization and single-table design patterns. * Design and implement Global Secondary Indexes (GSIs) and Local Secondary Indexes (LSIs) for flexible querying. * Configure DynamoDB's read/write capacity modes (provisioned vs. on-demand) and Time-to-Live (TTL) for data lifecycle. * Practice optimizing data access patterns to avoid hot partitions and ensure low-latency performance. The course begins with foundational terminology and concepts, then progresses through practical data modeling techniques and best practices for performance and scalability. This course is designed for beginners with no prior experience in DynamoDB or NoSQL databases. No prerequisites are required. Start building high-performance, scalable applications today.