Visualizing Website Clickstream Data with Apache Hadoop using Hortonworks
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 5
Abstract
Nowadays most of the organizations have turned to Ecommerce which has become a necessary component for business strategy and a catalyst for economic development. These organizations need to predict the analysis about their products and services to track their business from the customers end. The response from the customers based on their activities on the websites decides the future changes required to improve the business values. These organizations stores the information of all customers in detail for future analysis which is commonly referred as big data, as it is growing at high rates day by day (due to high growing rate of data). One of the main applications of big data intelligence is Clickstream data which is ideal for e-commerce websites and websites that depend on clicks. Clickstreams are records of user interactions with websites and other applications. A typical approach to load these data and processing is by using traditional databases, but it involves many complexities while performing different operations. Here in this paper clickstream data is processed, analysed with the structure of Hadoop using Hortonworks Data Platform (HDP) which provides large scale processing performance and visualized through power view tools.
Authors and Affiliations
Priya Kale, Dr. Siddhartha Ghosh, Manoj Kumar Danthala
Keywords
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