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Open source platform for big data exploration and analysis

Author

Listed:
  • Fernando Almeida
  • Pavel Kovalevski
  • Dovydas Sakalauskas

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.

Suggested Citation

  • Fernando Almeida & Pavel Kovalevski & Dovydas Sakalauskas, 2021. "Open source platform for big data exploration and analysis," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 38(3), pages 418-434.
    • Handle: RePEc:ids:ijbisy:v:38:y:2021:i:3:p:418-434
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