Trends and Challenges in Big Data Processing
Summary: Spark as a unified, in-memory cluster engine for streaming and iterative workloads; memory-centric design enables varied workloads. With Moore's law slowing and accelerators (GPUs, FPGAs, XPoint), the talk draws lessons for next-gen big-data systems. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Ion Stoica
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