Learn about modern cloud data warehouses and analytical database systems in this comprehensive lecture from Carnegie Mellon University's Database Systems course. Professor Andy Pavlo explores the architectures and key features of major platforms including Google BigQuery, Snowflake, Amazon Redshift, Databricks, and DuckDB. Discover how these systems handle data storage, query processing, and resource management differently, with detailed explanations of their unique approaches to scalability, performance optimization, and cost management. Gain insights into the evolution of data warehouse architectures from traditional on-premise solutions to cloud-native and hybrid deployments, understanding the trade-offs and benefits of each platform's design choices.