Generate Analytics from a Product based Company Web Log

Abstract

The next generation of industries will be using Big Data to remedy the unsolved data difficulties within the physical global. Big Data analysis may be about constructing systems around the data that is generated. Every department of an organisation consisting of advertising and marketing, finance and HR are actually getting direct get admission to to their own statistics. This is developing a huge activity opportunity and there may be an pressing requirement for the experts to master Big Data Hadoop abilities. Nowadays most of the groups have became to Ecommerce which has grow to be a vital element for business approach and a catalyst for economic improvement. These groups need to predict the evaluation approximately their services and products to tune their commercial enterprise from the customers end. The response from the customers based totally on their sports on the web sites makes a decision the future modifications required to enhance the commercial enterprise values. These companies stores the statistics of all clients in element for destiny analysis which is commonly referred as large statistics, as it's far developing at high costs every day. One of the main programs of large statistics intelligence is Clickstream data which is ideal for e-commerce websites and websites that rely upon clicks. Clickstreams are records of consumer interactions with web sites and other packages. A common technique to load those facts and processing is through the use of traditional databases, however it involves many complexities even as appearing different operations. Here in this paper clickstream records is processed, analysed with the structure of Hadoop the usage of Hortonworks Data Platform (HDP) which offers massive scale processing overall performance and visualized thru strength.