T R A C K       P A P E R
ISSN:2394-3661 | Crossref DOI | SJIF: 5.138 | PIF: 3.854

International Journal of Engineering and Applied Sciences

(An ISO 9001:2008 Certified Online and Print Journal)

Web Analytics using Map Reduce

( Volume 4 Issue 5,May 2017 ) OPEN ACCESS
Author(s):

Priyanka Lalwani, Dr. Gaurav Aggarwal, Prof. Abhinav Nirwal

Abstract:

With the advent of E-Commerce, the rapid growth that has occurred in the generation of huge amount of data is remarkable. The use of Internet and the web to transact business generates inventory which should be updated very quickly to remain competitive in the current digital market. Analyzing this web data is very important for companies to predict their customer behavior. Clickstream data is an information trail a user leaves behind while visiting a website. An extremely large volume of data can be collected from the user clicks which can be analyzed and interpreted through Hadoop to generate reports for e business companies. The primary focus of the paper is to prepare web based analysis system which will depict trends based on the users browsing mode using Hadoop MapReduce.

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