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A Novel Approach for Insight Finding Mechanism on ClickStream Data Using Hadoop

机译:使用Hadoop中粘性流的洞察发现机制的新方法

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In today's world, there is huge importance for analyzing large data sets in a short span of time. Hadoop is one of such framework that is used to store and process huge unstructured or semi structured data in a distributed manner. The main theme of this paper is to analyze clickstream data that has been gathered from online retail e-commerce website using Hadoop framework. In this process, we are going to use many tools like Pig, Hive, Sqoop which works based on map-reduce algorithm in order to process big data in efficient way. The Insight finding mechanism used to tell us day wise sales report, hourly sales report and top sold item reports based on the clickstream dataset. In the end, the output visualization plots will give the detailed insights based on the clickstream data that we have processed.
机译:在今天的世界中,在短时间内分析大数据集具有重要意义。 Hadoop是一种框架之一,用于以分布式方式存储和处理巨大的非结构化或半结构化数据。本文的主要主题是使用Hadoop框架分析从在线零售电子商务网站收集的Clickstream数据。在此过程中,我们将使用猪,Hive,SQOP等许多工具,该工具基于地图减少算法工作,以便以有效的方式处理大数据。洞察发现机制用于告诉我们日常销售报告,每小时销售报告和基于Clickstream DataSet的销售项目报告。最后,输出可视化图将基于我们处理的Clickstream数据提供详细的见解。

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