Web Analytics
Web Analytics stands for performing big data analytics on Web page usage data. The goal is to understand and optimize a Web page so that it is better found by users and search engines. It increases the effectiveness of the Web page by understanding better what users are doing with it. But it can be also used to perform business and market research whereby users of a Web page are considered customers of a company. Pages increasingly visited might indicate popularity trends. One example of an often used tool is Google Analytics.
Data Collections
The dataset collections are measurements of the number of visitors, number of specific page views, browsers users take to reach the page, and many other pieces of Information. There are two key data sources in order to create Web traffic datasets. One method is to read and Analyse the log files of Web page servers. In this log files the Web server records file requests of visited pages by browsers. Another method refers to page tagging that uses JavaScript technology embedded in the Web page content. This technology usually performs requests to another analytics server each time a Web page is opened in a Web browser. This also includes the tracking of mouse clicks which in turn can be very useful data when performing analytics. Storing all these pieces of Information can lead to big data challenges at a Web server despite the fact that most are simple text-oriented datasets. Given the high number of users per Web pages the Web servers need to store a massive amount of data in order to enable an effective processing of Web traffic. Additionally, those log files are tend to be kept for longer periods as the data may contain valuable information on business and market trends that may become interesting to analyse in the future.
More Information about Web Analytics
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