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Big Data using Cloud Computing - Opportunities for Small and Medium-sized Enterprises

Author

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  • Narasimha Rao Vajjhala
  • Ervin Ramollari

Abstract

Big Data has been listed as one of the current and future research frontiers by Gartner. Large-sized companies are already investing on and leveraging big data. Small-sized and medium-sized enterprises (SMEs) can also leverage big data to gain a strategic competitive advantage but are often limited by the lack of adequate financial resources to invest on the technology and manpower. Several big data challenges still exist especially in computer architecture that is CPU-heavy but I/O poor. Cloud computing eliminates the need to maintain expensive computing hardware and software. Cloud computing resources and techniques can be leveraged to address the traditional problems associated with fault tolerance and low performance causing bottlenecks to using big data. SMEs can take advantage of cloud computing techniques to avail the advantages of big data without significant investments in technology and manpower. This paper explores the current trends in the area of big data using cloud resources and how SMEs can take advantage of these technological trends. The results of this study will benefit SMEs in identifying and exploring possible opportunities and also understanding the challenges in leveraging big data.

Suggested Citation

  • Narasimha Rao Vajjhala & Ervin Ramollari, 2016. "Big Data using Cloud Computing - Opportunities for Small and Medium-sized Enterprises," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 2, January -.
  • Handle: RePEc:eur:ejesjr:83
    DOI: 10.26417/ejes.v4i1.p129-137
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    References listed on IDEAS

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    1. Lin, Feng-Jyh & Lin, Yi-Hsin, 2016. "The effect of network relationship on the performance of SMEs," Journal of Business Research, Elsevier, vol. 69(5), pages 1780-1784.
    2. Walker, Russell, 2015. "From Big Data to Big Profits: Success with Data and Analytics," OUP Catalogue, Oxford University Press, number 9780199378326.
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    Cited by:

    1. Marco Bettiol & Mauro Capestro & Eleonora Di Maria & Roberto Ganau, 2024. "Is this time different? How Industry 4.0 affects firms’ labor productivity," Small Business Economics, Springer, vol. 62(4), pages 1449-1467, April.
    2. Gianluca Vitale & Sebastiano Cupertino & Angelo Riccaboni, 2020. "Big data and management control systems change: the case of an agricultural SME," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 31(1), pages 123-152, April.
    3. Jean-Sebastien Lacam, 2020. "Data: A collaborative ? [Données: une stratégie collaborative?]," Post-Print hal-02930902, HAL.
    4. Sebastiano Cupertino & Gianluca Vitale & Angelo Riccaboni, 2018. "L?impatto dei Big Data sulle attivit? di pianificazione & controllo aziendali: In caso di studio di una PMI agricola Italiana," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2018(3), pages 59-86.

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    Keywords

    Big data; cloud; SMEs; technology; trends;
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