亚马逊通过将任务从Apache Spark迁移到Ray节省数百万
原文英文，约1100词，阅读约需4分钟。发表于：。For an e-tailer as large as Amazon, even small performance improvements reap significant savings. By replicating data lake table compaction The post Amazon to Save Millions Moving From Apache...
亚马逊将数据库表压缩任务从Apache Spark迁移到基于Python的Apache Ray，效率提升82%，每年节省1亿美元。Ray适合大规模数据处理，优化数据质量和性能。尽管Spark仍具优势，Ray的灵活性使其成为大型数据操作的理想选择。
