Big Data Analytics by using Spark of Alrajhi Stock

Abstract

Big data sets require accurate prediction and anal- ysis, which is where big data analytics come in. They make it possible to find important information from enormous data sets that might otherwise be obscured. Three different data analytics methods—Spark, Hive, and MapReduce—are employed in this study to investigate a particular Arabian Company stock, Alrajhi. Using the data analytics technique MapReduce, the peak five-month value of the stock in 2022 is examined. Spark programming is used to track the five lowest prices at which the market was initially established in 2022, and the Hive approach is used to track the year with the biggest volume of purchases during the previous five years. Issues with Big that were significant