Data Analysis at Scale with BigQuery and Cloud Storage

Modern organizations generate vast amounts of data, but extracting actionable insights requires the right tools and strategies. Managing and querying terabytes of data can be slow and expensive without cloud-scale data warehousing. In this text-based course, you will learn how to build a robust data pipeline by combining Cloud Storage for scalable data hosting and BigQuery for lightning-fast SQL analysis. You will transition from managing local spreadsheets to running high-performance queries on massive datasets in the cloud. What you'll learn: Understand core cloud data warehousing concepts and storage architecture; Configure Cloud Storage buckets to organize and store raw datasets efficiently; Load and query large datasets in BigQuery using standard SQL; Optimize query performance and control costs using partitioning and clustering; Apply modern data analysis patterns to clean, filter, and aggregate massive tables. The course starts with foundational definitions of cloud storage and data warehousing before guiding you through structured text explanations and SQL code examples to practice real-world analytical queries. This course is designed for aspiring data analysts, database administrators, and beginners curious about cloud data analytics, requiring no prior cloud experience. Start reading today to unlock the power of cloud-scale data analysis.