scholarly journals The Concept of Project Management Platform using BI and Big Data Technology

2016 ◽  
Author(s):  
Jolanta Pondel ◽  
Maciej Pondel
Keyword(s):  
Big Data ◽  
Project Management ◽  
Management Platform ◽  
Big Data Technology

scholarly journals Based on big data technology to effectively create university cultural and creative innovation and entrepreneurship platform

2021 ◽  
Vol 257 ◽  
pp. 02036
Author(s):  
Shen Jian
Keyword(s):  
Big Data ◽  
Project Management ◽  
Selection Process ◽  
Benefit Sharing ◽  
Massive Data ◽  
System Construction ◽  
Cloud Platform ◽  
Creative Project ◽  
Big Data Technology ◽  
Innovation And Entrepreneurship

There are some problems in the work of innovation and entrepreneurship in Colleges and universities, such as the difficulty of cultural and creative project management, the complexity of competition project selection process, the lack of curriculum system construction ideas, and the lack of innovation and entrepreneurship ability. Through the cloud platform, we can integrate the relevant data of innovation and entrepreneurship, and pass the multi-dimensional massive data through the unified portal Data cloud platform for interaction, customized interactive innovation and entrepreneurship services for each cultural and creative project entrepreneur, realized the clustering and sharing of entrepreneurial resources, unlimited expansion of entrepreneurial space, and benefit sharing in the era of big data.

scholarly journals The Construction of Food Testing Intelligent Laboratory Based on “Internet+” and Big Data Technology

2021 ◽  
Vol 292 ◽  
pp. 02053
Author(s):  
Kai Chen ◽  
Miao Hao ◽  
Hong Tan ◽  
Wei Huang ◽  
Fangjian Xin ◽  
...  
Keyword(s):  
Big Data ◽  
Food Safety ◽  
The Internet ◽  
Safety Testing ◽  
New Era ◽  
Healthy Development ◽  
Management Platform ◽  
Food Testing ◽  
Fast Pace ◽  
Big Data Technology

Food safety testing is of great significance for building a harmonious society. With the advent of the Internet era, the number of data indicators to be considered in food safety testing has gradually increased, and traditional food testing cannot adapt to the fast pace of today’s times. In order to meet the current challenges of food testing, this paper analyses the advantages of “Internet +” in building a food testing laboratory based on the challenges of food safety testing in the Internet era, and discusses the advantages of “Internet +” in the era of food testing. The paper discusses the intelligent working mode of food testing laboratories in the “Internet +” era, and combines big data technology to build an intelligent and comprehensive laboratory management platform, so as to build a new era of food testing intelligent laboratory, which improves the efficiency of food testing managers, reduces the workload, improves the accuracy of food safety testing, and helps the healthy development of the food industry.

A New Rockburst Experiment Data Compression Storage Algorithm based on Big Data Technology

2019 ◽  
pp. 561-573
Author(s):  
Yu Zhang ◽  
Yan-Ge Wang ◽  
Yan-Ping Bai ◽  
Yong-Zhen Li ◽  
Zhao-Yong Lv ◽  
...  
Keyword(s):  
Big Data ◽  
Data Compression ◽  
Experiment Data ◽  
Big Data Technology

scholarly journals Validity of the “Big Data Tendency in Education” Scale as a Tool Helping to Reach Inclusive Social Development

2020 ◽  
Vol 12 (13) ◽  
pp. 5470 ◽  
Author(s):  
Antonio Matas-Terrón ◽  
Juan José Leiva-Olivencia ◽  
Pablo Daniel Franco-Caballero ◽  
Francisco José García-Aguilera
Keyword(s):  
Big Data ◽  
Inclusive Education ◽  
Sustainable Development Goals ◽  
Sustainable Society ◽  
Education Students ◽  
The Sustainable Development ◽  
Research Goal ◽  
Development Goals ◽  
Nonprobability Sample ◽  
Big Data Technology

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.

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