Abstract
The idea of Big Data adapted a few years ago, but now many enterprises have concluded that the use of big data in the stream of business offers the best analysis of the brands. Considerable results are calculated through big data analysis. Hadoop is the ideal site for collecting and examining massive quantities of data after getting information from social networking sites like Instagram and Twitter, the data were organized using distributed file system as hadoop distributed file system (HDFS). As big data analytics tools become more attainable, the technology's impacts grows and expands into new sectors. This is a definite trend in the retail sector. HDFS, Map-Reduce, Hive, Pig, Spark, Oozie, and Sqoop are all suitable for extracting and analysing the required data. Some use cases were detected that would stand to gain the retailer, customers, and employees. It is essential for both large and small retailers to be able to not only react to, but also predict exactly industry trends and complexities. Data analytics is performed on the retail dataset in order to increase the organization's financial gain.
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