Open source platform for big data exploration and analysis

Fernando Almeida, Pavel Kovalevski and Dovydas Sakalauskas

International Journal of Business Information Systems, 2021, vol. 38, issue 3, 418-434

Abstract: Despite the enormous potential of big data, it is a relatively new issue for many companies, particularly for those of smaller size that looks at this as a challenge, is unattainable and only possible for companies with high financial capacity. However, open source software presents itself as an excellent alternative for these companies, which will allow them to exploit the high volume of data they have at their disposal. In this sense, this study presents a proposal for an architecture based exclusively on open source software that includes the entire value chain of big data, from data collection to data analysis. This architecture was tested considering three emerging scenarios in which big data become very relevant and challenging, namely for mobile analytics, network analytics, and mobile analytics.

Keywords: big data; open source; data mining; web analytics; network analytics; mobile analytics. (search for similar items in EconPapers)
Date: 2021
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