Optimizing I/O for Data‑Intensive Analytics in Cloud‑Native Environments: Insights from Uber Presto
This whitepaper examines the industry trend of moving data‑intensive analytics workloads to cloud‑native platforms, revealing how cloud storage cost models affect performance optimization, and presents case‑study findings from Uber’s Presto production environment that highlight fragmented I/O patterns and the financial impact of storage API calls.