Modernizing Data Lakes and Data Warehouses on Cloud Platforms

As organizations migrate away from rigid legacy infrastructure, the ability to manage agile data storage and analytical systems is a critical skill for modern data professionals. This text-only course guides you through the foundational concepts of modernizing data lakes and data warehouses on cloud platforms. You will first learn key terminology, structural differences between data lakes and warehouses, and how to transition to scalable cloud storage. Next, you will explore efficient querying techniques, structured data organization, and foundational visualization practices. What you'll learn: Understand the core differences between cloud data lakes and modern data warehouses; Query large-scale datasets efficiently using BigQuery and SQL best practices; Organize and partition data to optimize query performance and control storage costs; Apply modern data governance, access controls, and security principles; Design foundational reporting schemas that integrate smoothly with modern visualization tools. This course begins with essential architectural definitions before guiding you through structured lessons on data ingestion, query optimization, and reporting workflows. Designed specifically for beginners, data analysts, and aspiring data engineers, this course requires no prior cloud platform experience. Start reading today to build a modern, high-performance data infrastructure.