Suitability and performance of Big Data platforms

Master Thesis

Big Data technologies enable the Knowledge Discovery process in huge amounts and different types of data, over different architectural layers. Nowadays, data scientists can choose between multiple platforms (commercial and open-source) out there to manage, prepare and analyse the data. Within this work, we investigate the suitability and performance of prominent Big Data platforms on the market like IBM Cloud, Microsoft Azure or SAP Hana. Access to the platforms will be provided by the supervisor. In order to evaluate each platform suitable benchmarking criteria has to be defined and an evaluation has to be conducted. The expected result is a comparison of difference Big Data platforms, including their strength and weaknesses in combination with a quantitative evaluation based on the defined criteria.

Portrait of Kern
Roman Kern
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