Web Log Analysis Based on Hadoop Technology

Zhao Yongjian
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Abstract

The world is now in the information age. It is important to explore the valuable information from massive and diverse data. The analysis of the website log has great significance in practical application. Hadoop framework can provide reliable, scalable, distributed processing of large data sets. Hadoop series framework is utilized to conduct offline data processing and analysis for the website access log. The number of different browser, which visits to the master site access log, is counted. Different browser kernel, operating system, terminal type and other content access times are calculated and analyzed.
基于Hadoop技术的Web日志分析
当今世界正处于信息时代。从海量多样的数据中挖掘有价值的信息是非常重要的。对网站日志的分析在实际应用中具有重要意义。Hadoop框架可以提供可靠的、可扩展的、分布式的大型数据集处理。利用Hadoop系列框架对网站访问日志进行离线数据处理和分析。计算访问主站点访问日志的不同浏览器的数量。计算并分析了不同浏览器内核、操作系统、终端类型等对内容的访问次数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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