Application of Hadoop for Analyzing Data Using Mapper Files

In contemporary times, a substantial quantity of valuable and indeterminate data is readily accessible in numerous practical applications. This information might be used by many different industries and government agencies to get useful insights. This data has the potential to assist managers in improving their strategies and optimizing their decision-making processes. Several private enterprises and governments have started investing and funding initiatives to increase earnings and make the best use of resources. The analysis of large-scale datasets is crucial to the development and growth of future efforts, and the phrase “big data” is used to describe such massive amounts of data. This study presents an analysis of Big Data analytics based on empirical findings. The present study involves an analysis of New York Stock Exchange data through the utilization of two mapper files within the Hadoop framework. The annual computation of the highest and lowest values of each stock exchange, as well as the mean stock price, is performed.