Web Search and Browser Log analysis using BangDB for Decision Support
Loading...
Files
Authors
Ravinoothala, Ravi Teja
Issue Date
2016-04-01
Type
Presentation
Language
en_US
Keywords
BangDB , Big data , Browser log , Data analysis , Web search , NoSQL database
Alternative Title
Abstract
Big data is an emerging data that is beyond the capacity of a conventional database tools to analyse. BangDB rides the bigdata where data is processed using clusters. Web server logs are semi-structured files generated in a large volume by web users usually of flat text files. This paper performs the analysis on log files using BandDB in a distributed cluster. This framework affective detects the useful statistics like top n searches in a time period by the unique users search and pages accessed by the users. These results are compared with other NoSQL databases, and it results in a better time efficiency, storage and processing speed.