期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2016
卷号：5
期号：5
页码：1520-1524
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Big data concerns the massive volumes of dataset usually huge, sparse, incomplete, uncertain, complex or dynamic, which are mainly coming from multiple and autonomous sources. The most fundamental challenge for big data application is to explore the large volume of data and extract useful information or knowledge for future actions. Online shopping application provide users with the products in their stock and will render the comparison within their products only. Thereby limiting the users to analyze before buying a product. Shoppers may be unsatisfied with the limited number of choices in available product as per their requirement. There by the shoppers has to switch between multiple sites in order to match the requirements. This may sound as a hectic process, the shoppers may get frustrated due to lot of time utility. This system crabs the data from various web application and load its dataset collaboratively using crawling technique and process the batch jobs in a distributed and parallel processing way using HDFS (Hadoop Distributed File System). It allow the shoppers to analyze, get recommendations, to pick products and add to cart irrespective of the service provider. This system stands unique as it does not rely on the single service provider. The cart can be reviewed at any time and can be processed. All the information will be securely and precisely stored in user session. This results in an effective data analysis, to achieve fast response, scalable and an efficient precise service comparison.
