Big Data: Actuality and Challenges
Keywords:
big data; data analytics; data storage; data quality; privacyAbstract
The volume of data is constantly growing due to the explosion of machine-generated data and human involvement in social networks, especially in the last period in which the pandemic forced most activities to take place online. Big Data refers to storage, manipulation and analysis of this huge data sets that come from variety of sources and are too large and too heterogeneous to be traditionally processed. This paper gives an overview of Big Data sources, Big Data analytics, its applications, advantages and limitations, and challenges that Big Data has to face nowadays.
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Banu, A., Yakub, M. (2020). Evolution of Big Data and Tools for Big Data Analytics. Journal of Interdisciplinary Cycle Research, Volume XII, Issue X, 309-316, ISSN NO: 0022-1945.
Danubianu, M., Barila, A. (2014). Big Data vs. Data Mining for Social Media Analytics. International Conference on Social Media in Academia - Research and Teaching –SMART2014.
Doshi, Z., Agrawal, R., Kanani, P., Padole, M. (2020). Big Data, Big Challenges.
DuBois, J. (2020, April). Retrieved July 2021, from QuantHub: https://quanthub.com/data-scientist-shortage-2020/
Emani, C., Cullot, N., Nicolle, C. (2015). Understandable Big Data: A survey. Computer Science Review, Volume 17, 70-81.
Jamil, A., Abdullah, M., Javed, M., Hassan, M. (2018). Comprehensive Review of Challenges & Technologies for Big Data Analytics. 2018 IEEE International Conference on Computer and Communication Engineering Technology (CCET), pp. 229-233.
Jony, R., Rony, R., Rahman, M., Rahat, A. (2016). Big Data Characteristics, Value Chain and Challenges. 1st International Conference on Advanced Information and Communication Technology 2016.
Maheshwari, A. (2017). Big Data. McGraw Hill Education (India) Private Limited
Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., et al. (2011). Big Data: The Next Frontier for Innovation, Competition, and Productivity. McKinsey Global Institute.
Nimankar, S., Dagare, S. (2018). 7 Dimensions of Big Data Analytics. Global Journal of Engineering Science and Researches, 14-19.
Ritu, R., Gulia, P. (2019). Big Data Tools and Techniques: A Roadmap for Predictive Analytics. International Journal of Engineering and Advanced Technology (IJEAT) Volume-9 Issue-2, 4986-4992. ISSN: 2249 – 8958. DOI: 10.35940/ijeat.B2360.129219
Shabana, M., Sharma, V. (2021). A Study on Big Data Advancement and Big Data Analytics. Journal of Applied Science and Computations, 4099-4108.
Syed, A., Gillela, K., Venugopal, C. (2013). The Future Revolution on Big Data. International Journal of Advanced Research in Computer and Communication Engineering, Vol. 2, Issue 6, 2446-2451. ISSN (Online) : 2278-1021
Published
2021-09-28
How to Cite
Barila, A., Danubianu, M., & Turcu, C.-O. (2021). Big Data: Actuality and Challenges: Array. Journal of Danubian Studies and Research, 11(1). Retrieved from https://dj.univ-danubius.ro/index.php/JDSR/article/view/1271
Issue
Section
Entrepreneurial Perspectives and their Impact on the Danube
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