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, analyzes how cloud storage cost models affect performance optimization, and presents a case study of Uber's Presto deployment that reveals fragmented access patterns and new I/O cost considerations.
