Commercial Application of Big Data Technology in Internet Economy

Author(s):  
Yuelin Yin ◽  
Lei Tan ◽  
Xiaoyu Zhang
2020 ◽  
Vol 11 (4) ◽  
Author(s):  
Elena Deeva

Today, Big Data is one of the key economic and information resources needed to transform the digital economy and the competitiveness of a consulting firm. The analysis of scientific literature indicates the lack of a unified approach to the concept of "Big Data" in the consulting market. The development of Big Data technology in the market of consulting services and their commercial application is relevant. The article discusses the evolution of approaches to the concept of "Big Data", prospects and factors of development and sources of data acquisition. We also discussed the benefits of using big data technology. The research summarized available knowledge about the nature and development of Big Data technology in the consulting services market. The study revealed the power of the tool used by the analyst. The study identified a distinction between the terms "Deep Date" and "Big Date". We examined the following issues related to Big Data: the processing costs, in particular, expensive equipment, wages for qualified specialists, the problem of confidentiality and loss of information.


Author(s):  
Yu Zhang ◽  
Yan-Ge Wang ◽  
Yan-Ping Bai ◽  
Yong-Zhen Li ◽  
Zhao-Yong Lv ◽  
...  

2020 ◽  
Vol 12 (13) ◽  
pp. 5470 ◽  
Author(s):  
Antonio Matas-Terrón ◽  
Juan José Leiva-Olivencia ◽  
Pablo Daniel Franco-Caballero ◽  
Francisco José García-Aguilera

Big Data technology can be a great resource for achieving the Sustainable Development Goals in a fair and inclusive manner; however, only recently have we begun to analyse its impact on education. This research goal was to analyse the psychometric characteristics of a scale to assess opinions that educators in training have about Big Data besides their related emotions. This is important, as it will be the educators of the future who will have to manage with Big Data at school. A nonprobability sample of 337 education students from Peru and Spain was counted. Internal consistency, as well as validity, were analysed through exploratory and confirmatory factorial analysis. The results show good psychometric values, highlighting as relevant a latent structure of six factors that includes emotional and cognitive dimensions. As a result, the profile defining the participants in relation to Big Data was identified. Finally, the implications of the Big Data for Inclusive Education in a sustainable society are discussed.


2021 ◽  
Vol 1881 (4) ◽  
pp. 042036
Author(s):  
Jiao Tan ◽  
Yonghong Ma ◽  
Ke Men ◽  
Jing Lei ◽  
Hairui Zhang ◽  
...  

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