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Big data: From beginning to future

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  • Yaqoob, Ibrar
  • Hashem, Ibrahim Abaker Targio
  • Gani, Abdullah
  • Mokhtar, Salimah
  • Ahmed, Ejaz
  • Anuar, Nor Badrul
  • Vasilakos, Athanasios V.

Abstract

Big data is a potential research area receiving considerable attention from academia and IT communities. In the digital world, the amounts of data generated and stored have expanded within a short period of time. Consequently, this fast growing rate of data has created many challenges. In this paper, we use structuralism and functionalism paradigms to analyze the origins of big data applications and its current trends. This paper presents a comprehensive discussion on state-of-the-art big data technologies based on batch and stream data processing. Moreover, strengths and weaknesses of these technologies are analyzed. This study also discusses big data analytics techniques, processing methods, some reported case studies from different vendors, several open research challenges, and the opportunities brought about by big data. The similarities and differences of these techniques and technologies based on important parameters are also investigated. Emerging technologies are recommended as a solution for big data problems.

Suggested Citation

  • Yaqoob, Ibrar & Hashem, Ibrahim Abaker Targio & Gani, Abdullah & Mokhtar, Salimah & Ahmed, Ejaz & Anuar, Nor Badrul & Vasilakos, Athanasios V., 2016. "Big data: From beginning to future," International Journal of Information Management, Elsevier, vol. 36(6), pages 1231-1247.
    • Handle: RePEc:eee:ininma:v:36:y:2016:i:6:p:1231-1247
    DOI: 10.1016/j.ijinfomgt.2016.07.009
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    References listed on IDEAS

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    1. Gandomi, Amir & Haider, Murtaza, 2015. "Beyond the hype: Big data concepts, methods, and analytics," International Journal of Information Management, Elsevier, vol. 35(2), pages 137-144.
    2. Hashem, Ibrahim Abaker Targio & Chang, Victor & Anuar, Nor Badrul & Adewole, Kayode & Yaqoob, Ibrar & Gani, Abdullah & Ahmed, Ejaz & Chiroma, Haruna, 2016. "The role of big data in smart city," International Journal of Information Management, Elsevier, vol. 36(5), pages 748-758.
    3. Kwon, Ohbyung & Lee, Namyeon & Shin, Bongsik, 2014. "Data quality management, data usage experience and acquisition intention of big data analytics," International Journal of Information Management, Elsevier, vol. 34(3), pages 387-394.
    4. Tim Berners-Lee & James Hendler, 2001. "Publishing on the semantic web," Nature, Nature, vol. 410(6832), pages 1023-1024, April.
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