Abstract
In the rapidly evolving landscape of big data, the architecture of data ingestion processes significantly impacts the operational costs and efficiency of cloud environments. This paper delves into the architectural patterns and strategies that facilitate cost-effective data ingestion, with a particular focus on leveraging Amazon Web Services (AWS) technologies such as S3, EMR, and Glue. As organizations increasingly migrate to cloud-based solutions to manage voluminous data, optimizing the cost of data ingestion becomes crucial to maintain competitiveness and operational efficiency.
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