Introduction to Cloud Data Engineering

Ready to move beyond processing data on a single machine? This course provides the foundational knowledge to design, build, and manage robust data systems in the cloud, handling data at scale. You will transition from understanding basic data concepts to applying engineering principles to create automated, reliable data workflows. You'll learn how to select the right cloud services and assemble them into efficient data pipelines that power analytics and applications. What you'll learn: - Understand the core principles of cloud data engineering, from data lakes to modern data warehouses. - Design and implement automated ETL/ELT pipelines to ingest, transform, and serve data. - Define and manage your cloud data infrastructure using Infrastructure as Code (IaC) for consistency and repeatability. - Apply software engineering best practices like version control, testing, and CI/CD to your data pipelines. - Work with fundamental cloud storage and processing services for both structured and unstructured data. - Practice structuring a complete, end-to-end data processing system on a major cloud platform. The course begins with key cloud and data engineering terminology, then progresses through building data pipelines and concludes with operational best practices. Each section builds upon the last, providing a clear path to understanding the full data lifecycle in the cloud. This course is designed for beginners in cloud data engineering. A basic understanding of a programming language like Python and familiarity with data concepts is helpful, but no prior cloud experience is required. Start building the skills to engineer data solutions for the modern era.