AWS Data Stores Architecture and Schema Design

Choosing and designing the right storage solution on AWS is a critical skill for modern cloud professionals, yet navigating the vast array of database options can be overwhelming. This text-only course simplifies the decision-making process by breaking down AWS data stores into clear, actionable architectural principles. You will transition from understanding core database concepts to confidently designing schemas and planning secure data migrations. What you'll learn: Understand the foundational 3 Vs of data architecture (Volume, Velocity, and Variety) to categorize storage needs; Design high-performance DynamoDB schemas utilizing effective primary keys and secondary indexes; Structure Redshift data warehouses for optimal query performance using distribution and sort keys; Plan database migrations with minimal downtime using Database Migration Service (DMS) and Change Data Capture (CDC); Compare relational, non-relational, and analytical data stores to choose the right service for your workload. The course begins with essential terminology and the foundational pillars of cloud data architecture, before walking you through practical design patterns for NoSQL, relational, and analytical databases. This course is designed specifically for beginners, cloud practitioners, and aspiring data engineers with no prior AWS database experience required. Start reading today to build scalable, resilient data architectures on AWS.