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Мар, Вт, 2024
Jabbarova K.I., Mammadaliyeva G.N. – SOLVING BIG DATA ANALYTICS PLATFORM SELECTION BY USING MCDM METHOD
SOLVING BIG DATA ANALYTICS PLATFORM SELECTION BY USING MCDM METHOD
Jabbarova K.I.
Doctor of Philosophy, associate professor of Azerbaijan State Oil and Industry University
Mammadaliyeva G.N.
master’s student of Azerbaijan State Oil and Industry University
Abstract
Choosing the best big data analytics platform is essential for companies looking to gain valuable insights in today’s data-driven environment. However, due to the variety of available platforms and different application requirements, this selection procedure is inherently complex. To solve this problem, we use fuzzy TOPSIS method. This method allows you to systematically evaluate and select the most suitable approach for a big data analytics platform based on the company’s requirements. The fuzzy number based decision matrix consist of three alternatives and four criteria (Availability and fault tolerance, Data security, Ease of installation and maintenance, User interface and reporting). The getting results show validaty of the considered approach.
Keywords: Big data analytics, Multi-Criteria Decision Making (MCDM), platform selection, fuzzy TOPSIS method


