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 Uber Presto case‑study findings that reveal fragmented access patterns and new I/O strategies to improve cost‑effectiveness.
