Data Engineering: Building Data Lakes and Warehouses on Cloud Platform

Modern businesses rely on data to drive decisions, but managing massive amounts of information requires a robust and scalable architecture. Understanding how to organize, store, and process this information is the foundational skill for any aspiring data professional. This course provides a clear path from fundamental concepts to building functional data architectures on a modern cloud platform. You will gain the skills to select the right storage solutions for various business needs and understand how to maintain data integrity throughout the entire pipeline. What you'll learn: - Understand the core differences between data lakes and data warehouses - Identify specific use cases for structured, semi-structured, and unstructured data - Explore cloud-native storage solutions including BigQuery and Cloud Storage - Analyze the role of the data engineer in building and maintaining pipelines - Apply best practices for data governance and modern cloud security - Practice designing storage architectures that support both real-time and batch processing The curriculum begins with essential terminology and the evolution of data storage before moving into technical configurations and cloud-specific implementations. You will progress through theoretical frameworks and written exercises that simulate real-world data engineering challenges. This course is designed for absolute beginners interested in data engineering, cloud architecture, or business intelligence, with no prior technical experience required. Start building a solid foundation in cloud-based data storage today.