Optimizing Big Data Workflows with AWS Data Engineering Techniques
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The evolution of Data Engineering on AWS reflects a major shift from traditional, rigid data processing systems to highly scalable, intelligent, and flexible cloud-native architectures. In the early stages, data engineering relied heavily on on-premise infrastructure, batch processing, and centralized data warehouses, which often led to high latency, limited scalability, and complex maintenance.