Abstract

The multifaceted realm of big data was investigated in this paper, encompassing its management and analysis across diverse domains. The pivotal role of big data in sectors like healthcare, education, competitive intelligence, and the Internet of Things (IoT) was explored. The integration of advanced analytics, cloud-based solutions, and innovative techniques such as deep learning and artificial intelligence was examined. Moreover, potential challenges, including scalability concerns, integration complexities, publication bias, attribute relationships, and dimensionality reduction evaluations, were identified in the study. By shedding light on the advantages and limitations of big data analytics, this research contributed to a comprehensive understanding of its implications in contemporary society.

Keyword

Big data management, Data analytics, Healthcare, Education, IoT.

Cite this article

Prakash O, Gawade S

Refference

[1][1]Li W, Chai Y, Khan F, Jan SR, Verma S, Menon VG, et al. A comprehensive survey on machine learning-based big data analytics for IoT-enabled smart healthcare system. Mobile Networks and Applications. 2021; 26:234-52.

[2][2]Zhan K. Sports and health big data system based on 5G network and internet of things system. Microprocessors and Microsystems. 2021; 80:103363.

[3][3]Aceto G, Persico V, Pescapé A. Industry 4.0 and health: internet of things, big data, and cloud computing for healthcare 4.0. Journal of Industrial Information Integration. 2020; 18:100129.

[4][4]Karthik SA, Hemalatha R, Aruna R, Deivakani M, Reddy RV, Boopathi S. Study on healthcare security system-integrated internet of things (IoT). In perspectives and considerations on the evolution of smart systems 2023 (pp. 342-62). IGI Global.

[5][5]Sarosh P, Parah SA, Bhat GM, Muhammad K. A security management framework for big data in smart healthcare. Big Data Research. 2021; 25:100225.

[6][6]Lv Z, Qiao L. Analysis of healthcare big data. Future Generation Computer Systems. 2020; 109:103-10.

[7][7]Selvaraj S, Sundaravaradhan S. Challenges and opportunities in IoT healthcare systems: a systematic review. SN Applied Sciences. 2020; 2(1):139.

[8][8]Hariri RH, Fredericks EM, Bowers KM. Uncertainty in big data analytics: survey, opportunities, and challenges. Journal of Big Data. 2019; 6(1):1-6.

[9][9]Bag S, Wood LC, Xu L, Dhamija P, Kayikci Y. Big data analytics as an operational excellence approach to enhance sustainable supply chain performance. Resources, Conservation and Recycling. 2020; 153:104559.

[10][10]Dubey AK, Kushwaha GR, Shrivastava N. Heterogeneous data mining environment based on dam for mobile computing environments. In international conference on advances in information technology and mobile communication 2011 (pp. 144-9). Berlin, Heidelberg: Springer Berlin Heidelberg.

[11][11]Duan Y, Edwards JS, Dwivedi YK. Artificial intelligence for decision making in the era of Big Data–evolution, challenges and research agenda. International Journal of Information Management. 2019; 48:63-71.

[12][12]Kumari S, Patidar K, Kushwah R, Saxena G. A survey and analysis of big data management based on computational methodologies. ACCENTS Transactions on Image Processing and Computer Vision. 2020; 6(20):48-53.

[13][13]Didas M. The barriers and prospects related to big data analytics implementation in public institutions: a systematic review analysis. International Journal of Advanced Computer Research. 2023; 13(64):29-54.

[14][14]Hussin SK, Omar YM, Abdelmageid SM, Marie MI. Traditional machine learning and big data analytics in virtual screening: a comparative study. International Journal of Advanced Computer Research. 2020; 10(47):72-88.

[15][15]Dubey AK, Kumar A, Agrawal R. An efficient ACO-PSO-based framework for data classification and preprocessing in big data. Evolutionary Intelligence. 2021; 14:909-22.

[16][16]Fu W, Liu S, Srivastava G. Optimization of big data scheduling in social networks. Entropy. 2019; 21(9):902.

[17][17]Olivera P, Danese S, Jay N, Natoli G, Peyrin-Biroulet L. Big data in IBD: a look into the future. Nature Reviews Gastroenterology & Hepatology. 2019; 16(5):312-21.

[18][18]Sestino A, Prete MI, Piper L, Guido G. Internet of things and big data as enablers for business digitalization strategies. Technovation. 2020; 98:102173.

[19][19]Qi CC. Big data management in the mining industry. International Journal of Minerals, Metallurgy and Materials. 2020; 27:131-9.

[20][20]Bragazzi NL, Dai H, Damiani G, Behzadifar M, Martini M, Wu J. How big data and artificial intelligence can help better manage the COVID-19 pandemic. International Journal of Environmental Research and Public Health. 2020; 17(9):3176.

[21][21]Hasan MM, Popp J, Oláh J. Current landscape and influence of big data on finance. Journal of Big Data. 2020; 7(1):1-7.

[22][22]Baig MI, Shuib L, Yadegaridehkordi E. Big data in education: a state of the art, limitations, and future research directions. International Journal of Educational Technology in Higher Education. 2020; 17(1):1-23.

[23][23]Agrawal R, Prabakaran S. Big data in digital healthcare: lessons learnt and recommendations for general practice. Heredity. 2020; 124(4):525-34.

[24][24]León A, Pastor O. Enhancing precision medicine: a big data-driven approach for the management of genomic data. Big Data Research. 2021; 26:100253.

[25][25]Nilashi M, Abumalloh RA, Almulihi A, Alrizq M, Alghamdi A, Ismail MY, et al. Big social data analysis for impact of food quality on travelers’ satisfaction in eco-friendly hotels. ICT Express. 2021.

[26][26]Nikolov N, Dessalk YD, Khan AQ, Soylu A, Matskin M, Payberah AH, et al. Conceptualization and scalable execution of big data workflows using domain-specific languages and software containers. Internet of Things. 2021; 16:100440.

[27][27]Arfanuzzaman M. Harnessing artificial intelligence and big data for SDGs and prosperous urban future in South Asia. Environmental and Sustainability Indicators. 2021; 11:100127.

[28][28]Rohini P, Tripathi S, Preeti CM, Renuka A, Gonzales JL, Gangodkar D. A study on the adoption of wireless communication in big data analytics using neural networks and deep learning. In 2nd international conference on advance computing and innovative technologies in engineering 2022 (pp. 1071-6). IEEE.

[29][29]Lutfi A, Alrawad M, Alsyouf A, Almaiah MA, Al-Khasawneh A, Al-Khasawneh AL, et al. Drivers and impact of big data analytic adoption in the retail industry: a quantitative investigation applying structural equation modeling. Journal of Retailing and Consumer Services. 2023; 70:103129.

[30][30]Safa M, Pandian A, Gururaj HL, Ravi V, Krichen M. Real time health care big data analytics model for improved QoS in cardiac disease prediction with IoT devices. Health and Technology. 2023; 13(3):473-83.