hadoop tokyo高性能的相关内容

文章 2017-03-02 来自：开发者社区

【Hadoop Summit Tokyo 2016】Columnar Era：利用Parquet，Arrow and Kudu获取高性能

本讲义出自 Julien Le Dem在Hadoop Summit Tokyo 2016上的演讲，主要介绍了Columnar Era是利用Parquet，Arrow and Kudu获取数据计算的高性能的，并且分享了社区驱动的标准以及互操作性和Columnar Era的生态系统。

文章 2017-03-01 来自：开发者社区

【Hadoop Summit Tokyo 2016】基于Spark的高性能时空轨迹分析

本讲义出自YongHua (Henry) Zeng在Hadoop Summit Tokyo 2016上的演讲，主要分享了基于Spark的高性能时空轨迹分析的相关背景、架构以及技术设计，在技术设计方面主要讲解了大数据平台的设计、数据治理的设计、算法模型以及Spark轨迹计算等内容，最后还对于高性能时空轨迹分析的未来发展进行了展望。

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更新时间 2024-03-12 12:33:02

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开源大数据平台 E-MapReduce

开源大数据平台 E-MapReduce（简称“EMR”）是云原生开源大数据平台，向客户提供简单易集成的Hadoop、Hive、Spark、Flink、Presto、ClickHouse、StarRocks、Delta、Hudi等开源大数据计算和存储引擎服务。

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立即开通

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StarRocks 免费试用

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常见问题

最佳实践

EMR实时计算实践