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Learn to design, automate, and scale cloud-based ETL (Extract, Transform, Load) pipelines across major cloud platforms including AWS, Azure, and Google Cloud Platform in this comprehensive 55-minute technical presentation. Discover the fundamental principles of transforming raw data into actionable insights through end-to-end pipeline development. Master the essential techniques for extracting data from various sources, applying transformations to clean and structure information, and loading processed data into target systems. Explore cloud-native tools and services that enable automated data processing workflows, understand best practices for pipeline scalability and performance optimization, and gain practical insights into managing data quality and monitoring pipeline health across different cloud environments.
