hadoop tokyo大规模的相关内容

文章 2017-02-26 来自：开发者社区

【Hadoop Summit Tokyo 2016】Rakuten是如何解决由于大规模多租户Hadoop集群造成的迷之问题的

本讲义出自Tomomichi Hirano在Hadoop Summit Tokyo 2016上的演讲，主要分享了Rakuten公司遇到的大规模多租户Hadoop集群造成的迷之问题：从来不结束任务、数据结点冻结、命名结点冻结、命名节点重新启动后出现高负载以及在解决上述问题中获取的经验教训，并且分享了Rakuten的服务器配置和管理经验。

文章 2017-02-26 来自：开发者社区

【Hadoop Summit Tokyo 2016】雅虎日本的大规模Hadoop集群网络

本讲义出自Kai Fukazawa在Hadoop Summit Tokyo 2016上的演讲，主要分享了与Hadoop相关的网络技术，并分享了雅虎日本的网络技术转型发展之路和网络相关的问题以及解决方案，介绍了雅虎日本IP CLOS的网络架构设计以及遇到的挑战以及在未来雅虎日本在网络技术方面的发展计划。

文章 2017-02-26 来自：开发者社区

【Hadoop Summit Tokyo 2016】重建大规模Web跟踪设施

本讲义出自Stephen Oakley在Hadoop Summit Tokyo 2016上的演讲，主要分享了Marketo的Web跟踪技术以及其合法的Web跟踪设施的架构设计以及相关法律问题，并对于Marketo的大规模Web跟踪基础设施的技术需求和业务需求进行了介绍，并且分享了在架构设计中使用到的Spark Streaming以及HBase等相关技术。

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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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