Big data technology application under belt and road initiative

2017 ◽  
Author(s):  
Anbing Liu ◽  
Ping Guan
Keyword(s):  
Big Data ◽  
Belt And Road Initiative ◽  
Technology Application ◽  
Belt And Road ◽  
Big Data Technology

scholarly journals The application framework of big data technology in the COVID-19 epidemic emergency management in local government—a case study of Hainan Province, China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zijun Mao ◽  
Qi Zou ◽  
Hong Yao ◽  
Jingyi Wu
Keyword(s):  
Big Data ◽  
Emergency Management ◽  
Local Governments ◽  
Management Strategies ◽  
Application Framework ◽  
Hainan Province ◽  
Technology Application ◽  
Management Measures ◽  
Big Data Technology

Abstract Background As COVID-19 continues to spread globally, traditional emergency management measures are facing many practical limitations. The application of big data analysis technology provides an opportunity for local governments to conduct the COVID-19 epidemic emergency management more scientifically. The present study, based on emergency management lifecycle theory, includes a comprehensive analysis of the application framework of China’s SARS epidemic emergency management lacked the support of big data technology in 2003. In contrast, this study first proposes a more agile and efficient application framework, supported by big data technology, for the COVID-19 epidemic emergency management and then analyses the differences between the two frameworks. Methods This study takes Hainan Province, China as its case study by using a file content analysis and semistructured interviews to systematically comprehend the strategy and mechanism of Hainan’s application of big data technology in its COVID-19 epidemic emergency management. Results Hainan Province adopted big data technology during the four stages, i.e., migration, preparedness, response, and recovery, of its COVID-19 epidemic emergency management. Hainan Province developed advanced big data management mechanisms and technologies for practical epidemic emergency management, thereby verifying the feasibility and value of the big data technology application framework we propose. Conclusions This study provides empirical evidence for certain aspects of the theory, mechanism, and technology for local governments in different countries and regions to apply, in a precise, agile, and evidence-based manner, big data technology in their formulations of comprehensive COVID-19 epidemic emergency management strategies.

scholarly journals BI warehousing system based on big data

2021 ◽  
Vol 257 ◽  
pp. 02015
Author(s):  
Xiangming Lin ◽  
Kai Liu ◽  
Yixuan Li
Keyword(s):  
Big Data ◽  
Rapid Development ◽  
Reference Value ◽  
Data Management System ◽  
System Construction ◽  
Technology Application ◽  
Detailed Explanation ◽  
Warehousing Systems ◽  
Big Data Technology

In the wave of informatization, the data generated by enterprise operations has increased rapidly, prompting the intelligent development of enterprise warehousing systems. In the development of BI warehousing systems, the application of big data technology can promote the rapid development of business intelligence warehousing systems. The application of big data technology in the BI warehousing system can improve the service quality of the data intelligence of the warehousing system. Based on data, it provides support for corresponding decision-making, thereby improving the enterprise data management system. Therefore, this article mainly conducts research and analysis on the construction of BI warehousing system under the application of big data technology, and aims to provide a certain reference value for similar events in the future through a detailed explanation of the current situation of BI warehousing system construction and big data technology application.

scholarly journals Research on Real Estate Information System of the Real Estate Market Based on Big Data Technology

2021 ◽  
Vol 257 ◽  
pp. 02037
Author(s):  
Benli Li
Keyword(s):  
Information System ◽  
Big Data ◽  
Real Estate ◽  
Real Estate Market ◽  
Design System ◽  
Technology Application ◽  
The Real ◽  
The Real Estate ◽  
The Real Estate Market ◽  
Big Data Technology

This article analyzes and studies the importance of establishing a real estate information system in the real estate market. The research content of this article includes improving the efficiency of data utilization, formulating the important support of marketing strategy, and the inevitable trend of marketing system reform. The author studies the system technical route analysis, functional module design, logical hierarchical structure design, overall database design, data collection and storage method design, system key technology application, etc. The purpose of this article is to improve the applicability of information systems to regional development and to enhance the use value of big data technology itself.

scholarly journals Role of Big Data Analytics in Belt and Road Initiative (BRI): Multivariate Analysis with Gaussian Distribution of Data

2021 ◽  
Author(s):  
Valliappan Raju ◽  
Wang Juan ◽  
Sandeep Shrestha ◽  
Arrunkumar Kalathinathan ◽  
KK. Ramachandran
Keyword(s):  
Multivariate Analysis ◽  
Big Data ◽  
Gaussian Distribution ◽  
Data Analytics ◽  
Structural Equation ◽  
Big Data Analytics ◽  
P Value ◽  
Belt And Road Initiative ◽  
Belt And Road

This manuscript focuses on the Belt and Road Initiative (BRI) of China, whereby the focus is on the engagement of big data analytics to comprehend logistics exertion. China is the trendsetter for revolutionary practices in trade, logistics, and technology. The recent progress the nation is thriving is on ‘One Belt One Road’ project whereby 65 countries are involved. It aims to connect continents and circulate smooth trade between them. This paper addresses the role of the database to identify the inter-model logistics in BRI. The merits of this project in the perspective of economic growth are measured through a quantitative study with 112 samples. Goal-setting theory is used to construct a conceptual framework for the research. Multivariate analysis is executed with SmartPLS 3.3.3 followed by an in-depth structural equation modeling. Normal distribution of data was given importance as in statistics the real-value of random variables whose distributions are not known, thus Gaussian distribution of data was used. Out of 6 Hypotheses, it is noted that five are significantly positive. Hypothesis testing is concluded based on p-value and t-statistics. The outcome of research suggests that big-data analytics is a major contributor in determining the significant model on logistics in Belt and Road Initiative.

scholarly journals RESEARCH AND PRACTICE ON SPATIO-TEMPORAL BIG DATA CLOUD PLATFORM OF THE BELT AND ROAD INITIATIVE

2018 ◽  
Vol XLII-4 ◽  
pp. 389-396
Author(s):  
Z. T. Ma ◽  
C. M. Li ◽  
Z. Wu ◽  
P. D. Wu
Keyword(s):  
Big Data ◽  
Data Center ◽  
Spatial Information ◽  
Information Infrastructure ◽  
Belt And Road Initiative ◽  
Cloud Platform ◽  
Key Technologies ◽  
Belt And Road ◽  
Spatio Temporal ◽  
The Belt And Road

<p><strong>Abstract.</strong> Spatio-temporal big data cloud platform is an important spatial information infrastructure that can provide different period spatial information data services, various spatial analysis services and flexible API services. Activities of policy coordination, facilities connectivity and unimpeded trade on the Belt and Road Initiative (B&amp;R) will create huge demands to the spatial information infrastructure. This paper focuses on researching a distributed spatio-temporal big data engine and an extendable cloud platform framework suits for the B&amp;R and some key technologies to implement them. A distributed spatio-temporal big data engine based on Cassandra&amp;trade; and an extendable 4-tier architecture cloud platform framework is put forward according to the spirit of parallel computing and cloud service. Four key technologies are discussed: 1) a storage and indexing method for distributed spatio-temporal big data, 2) an automatically collecting, processing, mapping and updating method of authoritative spatio-temporal data for web mapping service, 3) a schema of services aggregation based on nodes registering and services invoking based on view extension, 4) a distributed deployment and extension method of the cloud platform. We developed a distributed spatio-temporal big data centersoftware and founded the main node platform portal with MapWorld&amp;trade; map services and some thematic information services inChina and built some local platform portals for those countries in the B&amp;R area. The management and analysis services for spatio-temporal big data were built in flexible styles on this platform. Practices show that we provide a flexible and efficient solution tobuild the distributed spatio-temporal big data center and cloud platform, more node portals can be aggregated to the main portal bypublishing their own web services and registering them in the aggregation schema. The data center and platform can support thestorage and management of massive data well and has higher fault tolerance and better scalability.</p>

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