vesense.github.io : This page is a summary to keep the track of Hadoop related project, and relevant projects around Big Data scene focused on the open source, free software enviroment.
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The Vesense Github Home | vesense.github.io Reviews
https://vesense.github.io
vesense.github.io : This page is a summary to keep the track of Hadoop related project, and relevant projects around Big Data scene focused on the open source, free software enviroment.
大数据应用 – 疯狂小象
http://www.vesense.com/archives/category/big-data-application
Hadoop YARN bug 导致主备RM挂掉. CDH54 VS HDP2.2. Storm bug worker级联挂掉 遗留问题. Storm Communication Performance Tuning. Log4j 1.2 bug导致程序挂起. Strom 背压机制 Automatic Back Pressure. New Kafka Consumer(since 0.9). 发表在 New Kafka Consumer Configs. 发表在 Storm bug KafkaSpout重复获取已经OutOfRange的消息. HDP Storm Best Practices – 疯狂小象.
HDP Storm Best Practices – 疯狂小象
http://www.vesense.com/archives/1123
HDP Storm Best Practices. This topic describes best practices for debugging Storm topologies, including beginning guidelines for configuring parallelism for individual topology components. Parallelism describes the degree to which the processing of a topology component is distributed across nodes in a cluster. For more information about parallelism, see Basic Storm Concepts. Read topology configuration parameters from a file. Use a cache to improve performance by eliminating unnecessary operations over t...
Apache Flume – 疯狂小象
http://www.vesense.com/archives/1145
What is Flume NG? Flume NG aims to be significantly simpler, smaller, and easier to deploy than Flume OG. In doing so, we do not commit to maintaining backward compatibility of Flume NG with Flume OG. We’re currently soliciting feedback from those who are interested in testing Flume NG for correctness, ease of use, and potential integration with other systems. And they still do the same thing. They are now connected by. There’s no more logical or physical nodes. We call all physical nodes. See the javado...
大数据时代的特点 – 疯狂小象
http://www.vesense.com/archives/1117
Implementing Real-Time Trending Topics With a Distributed Rolling Count Algorithm in Storm. HDP Storm Best Practices →. Hadoop YARN bug 导致主备RM挂掉. CDH54 VS HDP2.2. Storm bug worker级联挂掉 遗留问题. Storm Communication Performance Tuning. Log4j 1.2 bug导致程序挂起. Strom 背压机制 Automatic Back Pressure. New Kafka Consumer(since 0.9). 发表在 New Kafka Consumer Configs. 发表在 Storm bug KafkaSpout重复获取已经OutOfRange的消息. HDP Storm Best Practices – 疯狂小象.
俞敏洪 找合伙人越来越难 – 疯狂小象
http://www.vesense.com/archives/1039
他是一位成功的 创业者 ，把英语培训做成大买卖，新东方2006年在纽交所上市，成为中国大陆第一家在美国上市的教育机构 他个人也成为一代年轻人眼中的 俞校长 、 留学教父 现在他作为天使投资人，又是一代年轻创业者口中的 洪哥。 新京报 看完 中国合伙人 之后，感觉眼前的俞敏洪和电影中不太一样。 新京报 2014年12月初，你和盛希泰共同成立的 洪泰基金 天使基金 开始运作。 新京报 电影 中国合伙人 里，去美国敲钟的时候，创始人风光无限。 俞敏洪 印象深刻的吴军的两本书，叫 浪潮之巅 和 文明之光 ，还有 数学之美。 本文转载自 http:/ epaper.bjnews.com.cn/html/2015-06/25/content 583909.htm 新京报. 程序员休闲益智游戏 2048 →. Hadoop YARN bug 导致主备RM挂掉. CDH54 VS HDP2.2. Storm bug worker级联挂掉 遗留问题. Storm Communication Performance Tuning. Log4j 1.2 bug导致程序挂起.
Implementing Real-Time Trending Topics With a Distributed Rolling Count Algorithm in Storm – 疯狂小象
http://www.vesense.com/archives/1061
Implementing Real-Time Trending Topics With a Distributed Rolling Count Algorithm in Storm. A common pattern in real-time data workflows is performing rolling counts of incoming data points, also known as sliding window analysis. A typical use case for rolling counts is identifying trending topics in a user community such as on Twitter. Real-time data processing platform. The same code can also be used in other areas such as infrastructure and security monitoring. About Trending Topics and Sliding Windows.
Vesense开源项目 – 疯狂小象
http://www.vesense.com/vesense-open-source-project
2 thoughts on “ Vesense开源项目. I’m shkecod that I found this info so easily. Well maimaadca nuts, how about that. Hadoop YARN bug 导致主备RM挂掉. CDH54 VS HDP2.2. Storm bug worker级联挂掉 遗留问题. Storm Communication Performance Tuning. Log4j 1.2 bug导致程序挂起. Strom 背压机制 Automatic Back Pressure. New Kafka Consumer(since 0.9). 发表在 New Kafka Consumer Configs. 发表在 Storm bug KafkaSpout重复获取已经OutOfRange的消息. HDP Storm Best Practices – 疯狂小象.
大数据时代 – 疯狂小象
http://www.vesense.com/archives/category/internet-age
那么，大数据时代相比互联网时代又会发生哪些变 Read More ». 芯片技术、传感器、云计算的飞速发展让万物相连和无处不在的智能化成为普遍，计算机、互联网与生物技 Read More ». 本集选择七个代表性 Read More ». 在保护与出让的博弈中，在选择个性服务还是保留隐私的两难中，一个近乎全透明的时代环境渐渐到来， Read More ». 人类探索着新的管理规则与方式，学习对 Read More ». 本集从工作、社交、游戏与人生三个侧面，描绘人类的生存与生活方式如何由线下到线上、由物理空间向网络空间迁移，在这场向时 Read More ». 互联网让普通的个人越过几百年塑造的专业屏障、权威评价 Read More ». 传播方式和社会结构的变化，必然也深刻 Read More ». 本集对比传统工业时代和互联网时代，不同的分工协作方式、产业链关系、消费与生产的关系等，解析互联网如何改变、解构原有的价值链条 Read More ». 本集从个人兴趣的创造、风投资本的力量、创新创业的精神，解析互联网商业化过程和企业成长背后重要的动力，描绘新 Read More ».
调优 – 疯狂小象
http://www.vesense.com/archives/tag/调优
HDP Storm Best Practices. This topic describes best practices for debugging Storm topologies, including beginning guidelines f Read More ». 系统工具 top=uptime(load) free(memory) mpstat(cpu)* iostat(io) netstat(net) vmstat(cpu memory io) pidst Read More ». Storm Communication Performance Tuning. The following ending with ‘ ’ should override the default value. Inter-worker: Netty.ser Read More ». Understanding the Internal Message Buffers of Storm. Hbase-site.xml hbase-env.sh. Hive-site.xml hive-env.sh.
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疯狂小象 - 为数据疯狂
What is Flume NG? Flume NG aims to be significantly simpler, smaller, and easier to deploy than Flum Read More ». HDP Storm Best Practices. This topic describes best practices for debugging Storm topologies, including beginning guidelines f Read More ». 那么，大数据时代相比互联网时代又会发生哪些变 Read More ». Implementing Real-Time Trending Topics With a Distributed Rolling Count Algorithm in Storm. A common pattern in real-time data workflows is performing rolling counts of incoming data points, a Read More ».
The Vesense Github Home
Fork Me on GitHub. The Vesense Github Home. This page is a summary to keep the track of Hadoop related projects, focused on FLOSS environment. 1 hadoop.apache.org. 2 Google FileSystem - GFS Paper. 3 Cloudera Why HDFS. 4 Hortonworks Why HDFS. 2 Red Hat Hadoop Plugin. Quantcast File System QFS. Reed Solomon coding is very widely used in mass storage systems to correct the burst errors associated with media defects. Rather than storing three full versions of each file like HDFS, resulting in the need fo...
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