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Learn about the complex cost implications of migrating data analytics to cloud environments in this 12-minute conference talk. Explore a detailed case study of Uber's large-scale Presto analytics platform deployment on HDFS and Google Cloud Storage (GCS). Discover how traditional I/O optimization strategies, effective in on-premises setups, can lead to unexpected cost escalations in cloud environments, particularly concerning API costs. Examine specific examples of how common operations like table scans, filters, and broadcast joins impact cloud costs differently than on-premises solutions. Gain insights into developing new optimization approaches that balance performance with cost efficiency, specifically designed for cloud-based data analytics at scale.
