This document proposes using Hive and R to perform data stream mining on big data. Hive is used to query and analyze large datasets stored in Hadoop. Test and trained datasets are extracted from the data using Hive queries. The Support Vector Machine (SVM) classifier algorithm analyzes the data to produce a statistical report in R, comparing the accuracy of linear and nonlinear models. The proposed method aims to improve data processing speed and ability to analyze large volumes of data as compared to other tools.