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Big Data Challenges

Author

Listed:
  • Alexandru Adrian TOLE

    (Romanian - American University, Bucharest, Romania)

Abstract

The amount of data that is traveling across the internet today, not only that is large, but is complex as well. Companies, institutions, healthcare system etc., all of them use piles of data which are further used for creating reports in order to ensure continuity regarding the services that they have to offer. The process behind the results that these entities requests represents a challenge for software developers and companies that provide IT infrastructure. The challenge is how to manipulate an impressive volume of data that has to be securely delivered through the internet and reach its destination intact. This paper treats the challenges that Big Data creates.

Suggested Citation

  • Alexandru Adrian TOLE, 2013. "Big Data Challenges," Database Systems Journal, Academy of Economic Studies - Bucharest, Romania, vol. 4(3), pages 31-40, October.
    • Handle: RePEc:aes:dbjour:v:4:y:2013:i:3:p:31-40
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    File URL: http://dbjournal.ro/archive/13/13_4.pdf
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    Citations

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    Cited by:

    1. Sivarajah, Uthayasankar & Kamal, Muhammad Mustafa & Irani, Zahir & Weerakkody, Vishanth, 2017. "Critical analysis of Big Data challenges and analytical methods," Journal of Business Research, Elsevier, vol. 70(C), pages 263-286.
    2. Beáta Gavurová & Antonio José Balloni & Miriama Tarhaničová & Viliam Kováč, 2018. "Information and Communication Technology in the Role of Information System of Healthcare Facility in the Slovak Republic," Economies, MDPI, vol. 6(3), pages 1-15, August.
    3. Jonas Wanner & Christian Janiesch, 2019. "Big data analytics in sustainability reports: an analysis based on the perceived credibility of corporate published information," Business Research, Springer;German Academic Association for Business Research, vol. 12(1), pages 143-173, April.
    4. Huidong Sun & Mustafa Raza Rabbani & Muhammad Safdar Sial & Siming Yu & José António Filipe & Jacob Cherian, 2020. "Identifying Big Data’s Opportunities, Challenges, and Implications in Finance," Mathematics, MDPI, vol. 8(10), pages 1-19, October.

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