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本讲义出自Arun Murthy在Hadoop Summit Tokyo 2016上的演讲，主要介绍了Arun Murthy与团队的从各种流使用中学习到的最佳实践和经验，演讲的内容非常简单易懂并且非常有趣，在演讲的最后还介绍了像搭乐高一样搭建Storm与Spark Streaming Pipelin...

【Hadoop Summit Tokyo 2016】Apache Storm中的资源感知调度

本讲义出自Jerry Peng在Hadoop Summit Tokyo 2016上的演讲，主要介绍了Apache Storm的相关知识内容、目前遇到的挑战和问题并且对于资源感知调度器进行了详细介绍。

大数据实战项目：反爬虫系统（Lua+Spark+Redis+Hadoop框架搭建）第一阶段

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大数据实战项目：反爬虫系统（Lua+Spark+Redis+Hadoop框架搭建）第二阶段

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大数据实战项目：反爬虫系统（Lua+Spark+Redis+Hadoop框架搭建）第三阶段

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【Hadoop Summit Tokyo 2016】追踪Hadoop与Storm资源与开销

本讲义出自Kendall Thrapp在Hadoop Summit Tokyo 2016上的演讲，主要介绍了对于Hadoop与Storm资源与开销的追踪，以及为何要考虑资源优化和需要考虑哪些资源的优化。

【Hadoop Summit Tokyo 2016】以Apache Storm为例增强可靠性的流计算

本讲义出自Frank Zhao、Fenghao Zhang与 Yusong Lv在Hadoop Summit Tokyo 2016上的演讲，主要介绍了分布式流系统的相关概念，可靠性处理、Apache Storm的解决方案以及面对的挑战、新提出的方法以及 Apache Storm的原型和基准。

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