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In this AWS Lecture 01, we explore one of the most important questions in the tech world: 👉 If Google (Alphabet) and Facebook (Meta) are free to use, how did they become some of the richest companies in the world? The answer is DATA. In this lecture, you will learn: Why companies don’t charge users money How Google & Meta earn billions without selling products What “Data is the new oil” really means How user data is collected, stored, processed, and monetized Introduction to AWS Data Engineering concepts Basics of Data Analytics and real-world use cases How Data Science, Artificial Intelligence & Machine Learning turn data into profit. The role of AWS Cloud in handling massive-scale data How DevOps helps automate, deploy, and manage data systems This video is perfect for: AWS beginners, AI/ML, AI & Machine Learning (AI/ML) Students interested in Data Engineering, Data Analytics, Data Science, and DevOps, Artificial Intelligence & Machine Learning (AI-ML) Cloud computing learners Anyone curious about how big tech companies make money using data IT & software professionals starting a cloud career 📌 This is Lecture 01 of the AWS Series, where we build strong fundamentals step by step. Don’t forget to Like 👍, Share 🔄, and Subscribe 🔔 for more AWS, Data, and DevOps content. #AWS #DataEngineering #DataAnalytics #DataScience #DevOps #CloudComputing #PowerOfData #BigData #AWSTutorial #Google #Meta #TechCareers #AI #MachineLearning #AIML