Redirigiendo al acceso original de articulo en 21 segundos...
ARTÍCULO
TITULO

Explore Big Data Analytics Applications and Opportunities: A Review

Zaher Ali Al-Sai    
Mohd Heikal Husin    
Sharifah Mashita Syed-Mohamad    
Rasha Moh?d Sadeq Abdin    
Nour Damer    
Laith Abualigah and Amir H. Gandomi    

Resumen

Big data applications and analytics are vital in proposing ultimate strategic decisions. The existing literature emphasizes that big data applications and analytics can empower those who apply Big Data Analytics during the COVID-19 pandemic. This paper reviews the existing literature specializing in big data applications pre and peri-COVID-19. A comparison between Pre and Peri of the pandemic for using Big Data applications is presented. The comparison is expanded to four highly recognized industry fields: Healthcare, Education, Transportation, and Banking. A discussion on the effectiveness of the four major types of data analytics across the mentioned industries is highlighted. Hence, this paper provides an illustrative description of the importance of big data applications in the era of COVID-19, as well as aligning the applications to their relevant big data analytics models. This review paper concludes that applying the ultimate big data applications and their associated data analytics models can harness the significant limitations faced by organizations during one of the most fateful pandemics worldwide. Future work will conduct a systematic literature review and a comparative analysis of the existing Big Data Systems and models. Moreover, future work will investigate the critical challenges of Big Data Analytics and applications during the COVID-19 pandemic.

 Artículos similares

       
 
Nisrine Berros, Fatna El Mendili, Youness Filaly and Younes El Bouzekri El Idrissi    
Medicine is constantly generating new imaging data, including data from basic research, clinical research, and epidemiology, from health administration and insurance organizations, public health services, and non-conventional data sources such as social ... ver más

 
Gurtaj Singh, Vincenzo Violi and Marco Fisichella    
Healthcare data are distributed and confidential, making it difficult to use centralized automatic diagnostic techniques. For example, different hospitals hold the electronic health records (EHRs) of different patient populations; however, transferring t... ver más

 
Jin Bao, Lihua Xu, Yijun Shi, Qiwei Ma and Zhangwei Lu    
The urban thermal environment has become a challenging issue. Streets, as an essential public space in cities, can be laid out in such a way to effectively alleviate a problematic urban thermal environment. In this study, we calculated the layout charact... ver más

 
Wenjun Zou, Lei Wu, Yunrui Chang and Qiang Niu    
Ride-hailing, a newly emerging mobility service that is popular worldwide, has become an efficient new mode of transportation. Nonetheless, the use and value of ride-hailing remain unclear for newly developed areas in the suburbs. We crawled through the ... ver más

 
Kunlong Hong, Hongguang Wang and Bingbing Yuan    
For the surface defects inspection task, operators need to check the defect in local detail images by specifying the location, which only the global 3D model reconstruction can?t satisfy. We explore how to address multi-type (original image, semantic ima... ver más
Revista: Buildings