Analyze Apache Access Logs

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Import web logs to MySQL database

Access analysis is an important SEO work, but statistics, analysis tools, after all, the function is for the public, many times SEO needs some specific data, is http://www.aliyun.com/zixun/aggregation/10341.html "> Statistical analysis software, procedures can not provide.   In this way, direct Web log analysis is the most appropriate, the log will record each visit, as long as their own will extract, combination, you can get the data you want. Just ask ...

Xiao Su: from shallow to deep talk about Web site original access log analysis

Intermediary transaction http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnose Taobao guest cloud host Technology Hall recently, the author of about 50 just engaged in or have been engaged in 1-2 years of Seoer did a small investigation, Including a lot of interviewers, really in the work can be analyzed to the log seoer proportion is very very little, asked to visit the log in SEO played a role, many seoer are shaking their heads, or just ...

Log analysis methods overview How to be simpler and more valuable

Intermediary transaction SEO diagnosis Taobao guest Cloud host Technology Hall log is a very broad concept in computer systems, and any program may output logs: Operating system kernel, various application servers, and so on.   The content, size and use of the log are different, it is difficult to generalize. The logs in the log processing method discussed in this article refer only to Web logs. There is no precise definition, which may include, but is not limited to, user access logs generated by various front-end Web servers--apache, LIGHTTPD, Tomcat, and ...

"Book pick" large data development of the first knowledge of Hadoop

This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...

Mining business value from large data

Both in the public and private sectors, organizations and businesses are collecting and analyzing "big data" to more accurately forecast market trends and make smarter decisions to ensure success. They classify large amounts of data from a variety of sources, including weather forecasts, economic reports, forums, news sites, social networks, wikis, tweets and blogs, and then analyze the data further to understand their customers, operations, and competitors from a new perspective. Some companies even use predictive analysis to determine what they might encounter in the next one months, year or even five years.

The successful way of Internet Entrepreneurship (VI.): Spreading effect statistics and analysis

Intermediary transaction SEO diagnosis Taobao guest Cloud host technology lobby Internet is a big topic, but for the site, how low-cost and effective marketing to promote, so that users can be familiar with the site as soon as possible, is the key after the establishment of the station. First, the preparation of the website before the second, the energy of a huge word of mouth promotion three, new Web site traffic promotion Strategy Four, the net picks the platform to promote the website to promote the network to spread the website six, the advertisement promotion propaganda effect fast above content detailed information to "the Internet ...

PAAs adjusts status to meet the "big Data" era

The year of "Big Data" for cloud computing, a major event for Amazon, Google, Heroku, IBM and Microsoft, has been widely publicized as a big story. However, in public cloud computing, which provider offers the most complete Apache Hadoop implementation, it is not really widely known. With the platform as a service (PaaS) cloud computing model as the enterprise's Data Warehouse application solution by more and more enterprises to adopt, Apache Hadoop and HDFs, mapr ...

Translating large data into large value practical strategies

Today, some of the most successful companies gain a strong business advantage by capturing, analyzing, and leveraging a large variety of "big data" that is fast moving. This article describes three usage models that can help you implement a flexible, efficient, large data infrastructure to gain a competitive advantage in your business. This article also describes Intel's many innovations in chips, systems, and software to help you deploy these and other large data solutions with optimal performance, cost, and energy efficiency. Big Data opportunities People often compare big data to tsunamis. Currently, the global 5 billion mobile phone users and nearly 1 billion of Facebo ...

Top 10 Hadoop Administrators Best Practices

Preface Having been in contact with Hadoop for two years, I encountered a lot of problems during that time, including both classic NameNode and JobTracker memory overflow problems, as well as HDFS small file storage issues, both task scheduling and MapReduce performance issues. Some problems are Hadoop's own shortcomings (short board), while others are not used properly. In the process of solving the problem, sometimes need to turn the source code, and sometimes to colleagues, friends, encounter ...

Teradata Integrated large Data Analysis architecture

Teradata Corporation (Teradata Corporation, NYSE: TDC) recently announced the launch of the Teradata Unified Data Environment (TERADATA, unified data Environnement) and the Unified Data Architecture (Unified). Teradata Unified Data Environment is a framework that can help enterprises to deal with all types of data and a variety of teradata systems. Tere ...

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