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 The Construction and Thinking of Cloud Computing and Big Data Technology in Smart Campus

2019 ◽  
Vol 3 (2) ◽  
pp. 152
Author(s):  
Xianglan Wu
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Storage ◽  
Information Technologies ◽  
Rapid Development ◽  
Smart Campus ◽  
Huge Data ◽  
New Information ◽  
Big Data Technology

<p>In today's society, the rise of the Internet and rapid development make every day produce a huge amount of data. Therefore, the traditional data processing mode and data storage can not be fully analyzed and mined these data. More and more new information technologies (such as cloud computing, virtualization and big data, etc.) have emerged and been applied, the network has turned from informationization to intelligence, and campus construction has ushered in the stage of smart campus construction.The construction of intelligent campus refers to big data and cloud computing technology, which improves the informatization service quality of colleges and universities by integrating, storing and mining huge data.</p>

scholarly journals Research on Influencing Factors of Export Complexity of Chinese High-tech Industry Based on Big Data Analysis

2021 ◽  
Vol 235 ◽  
pp. 03013
Author(s):  
Junsheng Wang ◽  
Zhong Ziqi ◽  
Haoran Wang
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Rapid Development ◽  
Big Data Analysis ◽  
High Tech ◽  
Industrial Agglomeration ◽  
High Tech Industry ◽  
Technical Content ◽  
Big Data Technology

Export trade can measure the economic level of a country, but it can only reflect the amount of exports, but not the quality of exported products and the technical content of exported products. Therefore, domestic and foreign scholars have begun to study the complexity of export technology. The development of big data technology makes it possible to analyze the export complexity using big data analysis technology. With the rapid development of high-tech industries represented by high-end manufacturing, there is more and more research on the export of high-tech industries. Based on the existing research results, this article first introduces the current export profile of high-tech products and explains the concept of export complexity. Then, the flow of big data analysis was sorted out. Finally, this paper theoretically analyzes the influence of industrial agglomeration on industrial export complexity, and uses big data analysis and regression verification. The results show that industrial agglomeration has a significant role in promoting the export complexity of China’s high-tech products.

scholarly journals Construction of Ecological Environment Information System Based on Big Data: A Case Study on Dongting Lake Ecological Area

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Diandi Wan ◽  
Shaohua Yin
Keyword(s):  
Information System ◽  
Big Data ◽  
Rapid Development ◽  
Dongting Lake ◽  
Ecological Environment ◽  
Ecological Problem ◽  
Collection Data ◽  
Technology Trend ◽  
Big Data Technology

With the rapid development of cloud computing, Internet of Things, and other technologies, the information technology trend led by “big data” has an impact on all fields. The application of big data technology in the field of ecological environmental protection enables accurate and comprehensive ecological information collection, data analysis, and mining, accurate ecological problem identification, and effective solution. Taking Dongting Lake Ecological Area as an example, this paper constructs an ecological environment information system based on big data and expounds its specific application in water, atmosphere, soil environment monitoring, and pollution control, aiming to provide a reference for the application of big data technology in the field of ecological environment protection in Dongting Lake Ecological Area and more effectively maintain the ecological environmental quality and safety in the area.

scholarly journals Reflection on Prevention and Control of Telecommunication Network Fraud in Big Data Era

2020 ◽  
Vol 2 (2) ◽  
pp. 42
Author(s):  
Xingrui Wang
Keyword(s):  
Big Data ◽  
Communication Technology ◽  
Telecommunication Network ◽  
Rapid Development ◽  
Economic Losses ◽  
The Public ◽  
Telecommunication Equipment ◽  
The Masses ◽  
And Control ◽  
Big Data Technology

<p>With the rapid development of smart phones and communication technology, the frequency of communication between the public and society through telecommunication equipment is increasing. At the same time, some lawless elements often cheat the public through telecommunication equipment, which brings irreparable economic losses to the society and the masses to a certain extent. In view of the above problems, this article takes the source of telecommunication fraud as the breakthrough point, analyzes the existing telecommunication fraud processing technology and points out its shortcomings, and then proposes a method of telephone fraud analysis based on big data technology. This technology fills the defects of the existing telecommunication interception technology and provides a new idea for effectively avoiding telecommunication fraud in the future.</p>

scholarly journals Big Data on Machine Learning – A Review

2021 ◽  
Vol 8 (3) ◽  
Author(s):  
Balasree K ◽  
Dharmarajan K
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Data Storage ◽  
Data Analytics ◽  
Rapid Development ◽  
Learning Algorithms ◽  
Big Data Analytics ◽  
Machine Learning Algorithms ◽  
Data Sets ◽  
Big Data Technology

In rapid development of Big Data technology over the recent years, this paper discussing about the Machine Learning (ML) playing role that is based on methods and algorithms to Big Data Processing and Big Data Analytics. In evolutionary fields and computing fields of developments that both are complementing each other. Big Data: The rapid growth of such data solutions needed to be studied and provided to handle then to gain the knowledge from datasets and extracting values due to the data sets are very high in velocity and variety. The Big data analytics are involving and indicating the appropriate data storage and computational outline that enhanced by using Scalable Machine Learning Algorithms and Big Data Analytics then the analytics to reveal the massive amounts of hidden data’s and secret correlations. This type of Analytic information useful for organizations and companies to gain deeper knowledge, development and getting advantages over the competition. When using this Analytics we can predict the accurate implementation over the data. This paper presented about the detailed review of state-of-the-art developments and overview of advantages and challenges in Machine Learning Algorithms over big data analytics.

Construction and Application of Regional Medical Information Sharing System Based on Big Data

2020 ◽  
Vol 11 (3) ◽  
pp. 40-61
Author(s):  
Yuanyuan Zhang
Keyword(s):  
Big Data ◽  
Information Sharing ◽  
Medical Service ◽  
Medical Information ◽  
Rapid Development ◽  
Information Service ◽  
Service Innovation ◽  
Regional Medical ◽  
Network Application ◽  
Big Data Technology

With the popularization of network application and the rapid development of electronic science, big data technology is constantly maturing and widely used in various fields. For the continuous development of regional medical informatization in China, based on the concept of big data technology and regional medical information data sharing, this paper adopts big data to improve the quality and efficiency of medical information service so as to realize the reasonable distribution and sharing of medical resources and provide references for medical service innovation in China.

How Artificial Intelligence and Big Data Are Transforming Repression

2021 ◽  
pp. 212-253
Author(s):  
Steven Feldstein
Keyword(s):  
Artificial Intelligence ◽  
Public Policy ◽  
Social Media ◽  
Big Data ◽  
Global Index ◽  
Detailed Explanation ◽  
Surveillance Technology ◽  
Recognition Systems ◽  
Data Surveillance ◽  
Big Data Technology

This chapter examines how artificial intelligence (AI) and big-data technology are reshaping repression strategies and why they are a boon for autocratic leaders. It explores two in-depth scenarios that describe potential state deploy AI and big-data techniques to accomplish political objectives. It presents a global index of AI and big-data surveillance that measures the use of these tools in 179 countries. It then presents a detailed explanation for specific types of AI and big-data surveillance: safe cities, facial recognition systems, smart policing, and social media surveillance. Subsequently, it examines China’s role in proliferating AI and big-data surveillance technology, and it reviews public policy considerations regarding use of this technology by democracies.

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