AWS Storage Tiering and Cost Optimization for Data Engineers

Managing cloud storage costs is a critical skill for modern data professionals, yet many organizations overpay for underutilized data. This text-based course guides you through classifying data workloads and selecting the most cost-effective storage solutions on AWS. You will learn the core principles of data tiering to dramatically reduce your cloud spend without compromising performance. Starting with fundamental storage definitions, you will progress to hands-on configuration concepts for automated data pipelines. What you will learn: Understand the differences between hot, warm, and cold data classifications; Configure S3 lifecycle policies to automate transitions to Glacier and other cost-effective tiers; Perform efficient data movement between S3 and Redshift using COPY and UNLOAD commands; Implement security and access controls for tiered storage using IAM policies; Analyze storage usage patterns using modern monitoring tools to identify savings opportunities. This course begins with essential terminology and storage concepts before moving into practical, step-by-step configuration workflows. It is designed for beginner data engineers, cloud administrators, and database professionals looking to optimize AWS storage costs. Start reading today to build efficient, lifecycle-driven cloud data architectures.