SQL on the Cloud: Learn AWS Athena, Google BigQuery, and Azure SQL for Data Analysis Unlock the power of cloud-based data analytics with this complete, hands-on guide to SQL on AWS Athena, Google BigQuery, and Azure SQL . Whether you’re a data analyst, business intelligence professional, or developer, this book shows you how to run fast, scalable SQL queries directly in the cloud—without managing servers or hardware. What You’ll Learn How cloud SQL works on Amazon Athena, Google BigQuery, and Microsoft Azure SQL - How to write, optimize, and execute SQL queries for big data analysis - How to build and query data lakes and data warehouses efficiently - Practical techniques for cost optimization, performance tuning, and security - Real-world use cases for multi-cloud analytics and data integration - Step-by-step examples using real datasets and modern tools Why This Book This book takes a practical approach—explaining complex cloud concepts in simple language with plenty of examples. You’ll learn how each major platform handles SQL, data storage, and computation, and how to choose the right one for your needs. Who This Book Is For Data analysts, engineers, and scientists working with large datasets - Students and professionals learning cloud data analytics - Developers transitioning from traditional SQL to serverless cloud solutions - Anyone preparing for data analytics or cloud certification exams Take the next step in your data career. Learn how to use SQL in the cloud to manage, analyze, and visualize data across AWS, Google Cloud, and Azure. Get your copy today and start building cloud-powered analytics solutions that scale.