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Nowadays, in parallel with the increase in the amount of data, the need for data mining has increased and the process of converting data into information has become inevitable in all areas of life. Depending on the fact that the data is kept digitally, there is a large amount of data waiting to be converted into information. With this study, it is aimed that the data mining process, which has become such a general need nowadays, is easily realized by non-experts. Within the scope of the study, "Sparkle Mining" tool has been developed which enables analysis with good performance in big data. Within the scope of the project, an alternative tool for data analysis has been developed. Before this tool was developed, the technology and libraries to be used were investigated extensively. In data analysis, the technologies and data mining library that will enable us to achieve the best performance have been used by our system. The studies conducted in order to determine the data mining library to be used are also presented within the scope of the thesis. The data set loaded into the system is analyzed according to the rules set by the user. Data and analysis results are stored in the cloud area defined for the user. With this study, users will be able to do their analysis easily also they will be able to view the data and the results of their analysis at any time and place.