Foundations of Data Engineering and Database Architecture

Understanding how data systems are structured, optimized, and maintained is essential for modern technical roles. This text-based course introduces core data engineering concepts, starting with foundational terminology, database architecture, and infrastructure principles. You will gain a clear understanding of database design, system reliability, and modern data processing patterns. What you will learn: Understand foundational data engineering terminology and system operational workflows. Apply database normalization rules to structure data efficiently and reduce redundancy. Compare full, differential, and incremental backup strategies for system recovery. Explore cluster configurations designed to achieve high availability and performance scalability. Learn modern data orchestration concepts and pipeline workflows. Understand the role of data warehouses and modern storage architectures. The course begins with core terminology and relational design before introducing high-availability systems and data pipeline principles through structured written explanations and exercises. Designed for beginners and aspiring tech professionals with no prior data engineering experience required. Begin reading today to build your data engineering fundamentals.