Analysis and Prediction of Stock Market Using Big Data Technology

Stock Market is the financial ground on which the high amount of data is released at every single point of time, which is very complex and nonlinear in nature. These data sets are used to predict the high profits and risks that a user can have in investing in a company. To predict such an analysis there should be adjacent to the accurate result which is one of the crucial challenges. In this paper, the goal is to forecast the prediction through analyzing the stock data for those clients who are interested in investing in a company which is done via Big Data technology using Hadoop, HDFS, MapReduce, Sqoop, and Hive. This is a process of financial decision making for the investments. This model will help the shareholders to know the current scenario of any company and the market