Clickstream Analysis using Hadoop
Harshit Makhecha, Dharmendra Singh, Bhagirath Prajapati, Priyanka Puvar "Clickstream Analysis using Hadoop". International Journal of Computer Trends and Technology (IJCTT) V34(2):89-92, April 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
E-Commerce websites generates huge churns of data due to large amount of transactions taking place every second and so their inventory should be updated as per transactions very quickly to remain stable in these competitive market. Analyzing web log files has become one of the important task for ECommerce companies to predict their customer behavior. Clickstream data is very important part of big data marketing as it will tell what customers click on and purchase or (do not purchase). The primary focus of the paper is to prepare web log analysis system which will depict trends based on the users browsing mode using Hadoop MapReduce and handling heterogeneous query execution on log file.
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The primary focus of the paper is to prepare web log analysis system which will depict trends based on the users browsing mode using Hadoop MapReduce and handling heterogeneous query execution on log file.