Amazon Web Services Data Engineering Infrastructure focuses on designing and managing scalable cloud-based systems for data collection, processing, and analytics. It enables organizations to build robust data platforms that support large-scale batch and real-time data workflows. This training explains core concepts such as data lakes, data pipelines, storage architectures, and distributed processing frameworks. It also covers AWS services like S3, Glue, Lambda, Redshift, and EMR for building end-to-end data engineering solutions. You will learn how enterprises design secure, reliable, and high-performance infrastructure for analytics and machine learning workloads. The course also highlights best practices for optimizing cost, scalability, and data governance in cloud environments.
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