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.
