Fundamentals of Data Lake Design on AWS

Organizations today need to store and analyze massive volumes of data without the constraints of traditional silos. This course provides a structured path to understanding how to build a flexible and secure data lake on AWS from the ground up. You will learn to move beyond basic storage to create a centralized repository that supports diverse analytical workloads. What you'll learn: - Understand the core principles of data lake architecture and how it differs from traditional warehousing. - Configure scalable storage and organize data partitions for efficient retrieval. - Automate data cataloging and schema discovery to maintain a searchable data inventory. - Perform serverless SQL queries on raw data to gain immediate insights. - Implement fine-grained access control and governance to protect sensitive information. - Apply modern Lakehouse patterns to integrate structured and unstructured data seamlessly. The course begins with essential terminology and foundational concepts before moving through the lifecycle of data ingestion, processing, and security. You will explore practical design patterns and configuration steps used to build a production-ready environment. This program is designed for beginners in cloud data engineering, and no previous experience with cloud infrastructure is required. Start building your cloud data infrastructure today.