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Summary
A comprehensive Data Engineering Masterclass covering fundamentals, data lifecycle, ETL processes, and architecture. It explains data generation, storage, SQL vs NoSQL, data warehousing, and tools like Apache Spark and Airflow. Real-world case studies on AWS, GCP, and Azure are discussed, along with modern data stack concepts and essential tools for aspiring data engineers.