The comparative analysis of cloud computing services dedicated to data mining

The huge amount of data collected on a variety of human activities contains a lot of useful information that is difficult for humans to analyze and comprehend. Data mining enables extraction of knowledge from such data. There is a lot of services that provide data mining functionality and therefore it is important to define guidelines for choosing the optimal service. This paper demonstrates a comparative analysis of data mining tools, specifically: ”Microsoft Azure HDInsight”, ”Google Cloud Dataproc” and ”Amazon Elastic MapReduce”. Firstly, the comparison aspects of data mining services are defined: functionality, user interface, integrity and performance. Secondly, the data mining model that predicts fraudulent credit cards transactions is developed. While the model is being further validated using the aforementioned services, user experience and functionality of services are evaluated. Lastly, the performance analysis of the aforementioned services is conducted. Summarized results of intermediate steps suggest that regarding the user experience aspect the best choice is ”Microsoft Azure HDInsight”, regarding the performance aspect - ”Google Cloud Dataproc”. When all the aspects and price are considered then the optimal choice is ”Google Cloud Dataproc”