scholarly journals Research and analysis of Enterprise e-commerce marketing system under big data environment

2021 ◽  
Vol 33 (6) ◽  
pp. 0-0
Keyword(s):  
Big Data ◽  
Online Shopping ◽  
Practical Significance ◽  
Marketing System ◽  
Database Query ◽  
Online Sales ◽  
Modern Business ◽  
And Performance ◽  
Performance Conditions ◽  
Big Data Technology

As an emerging online shopping method, e-commerce has been widely popular since the popularization of the Internet. Online sales and online shopping have become the trend of modern business development. However, the functionality and performance conditions of the existing platform cannot be closely integrated with the merchant's own business. The purpose of this paper is to study the enterprise e-commerce marketing system based on big data. The system design of this paper adopts SSH framework as the main technology, the database selects HBase database, and the front end combines with Web2.0 technology for the interaction of interface display and operation. The experimental results show that applying big data technology to enterprise e-commerce marketing system has extremely important practical significance. Perform a performance analysis on this system,when the amount of data reaches 4000, the speed of HBase is 10.486s, and the query time of Mysql is 50.184s. It can be seen that the Hbase database query speed is much faster than the Mysql database query speed.

scholarly journals Research and Analysis of an Enterprise E-Commerce Marketing System Under the Big Data Environment

2021 ◽  
Vol 33 (6) ◽  
pp. 1-19
Author(s):  
Linze Li ◽  
Jun Zhang
Keyword(s):  
Big Data ◽  
Online Shopping ◽  
Practical Significance ◽  
Marketing System ◽  
Database Query ◽  
Online Sales ◽  
Modern Business ◽  
And Performance ◽  
Performance Conditions ◽  
Big Data Technology

As an emerging online shopping method, e-commerce has been widely popular since the popularization of the Internet. Online sales and online shopping have become the trend of modern business development. However, the functionality and performance conditions of the existing platform cannot be closely integrated with the merchant's own business. The purpose of this paper is to study the enterprise e-commerce marketing system based on big data. The system design of this paper adopts SSH framework as the main technology, the database selects HBase database, and the front end combines with Web2.0 technology for the interaction of interface display and operation. The experimental results show that applying big data technology to enterprise e-commerce marketing system has extremely important practical significance. Perform a performance analysis on this system,when the amount of data reaches 4000, the speed of HBase is 10.486s, and the query time of Mysql is 50.184s. It can be seen that the Hbase database query speed is much faster than the Mysql database query speed.

scholarly journals Analysis on the Training Strategies of University Library Service Talents under the Concept of "Three-all Education" in the New Era

2021 ◽  
Vol 2 (5) ◽  
Author(s):  
Yingli Lu
Keyword(s):  
Big Data ◽  
Colleges And Universities ◽  
Practical Significance ◽  
Staff Education ◽  
Library Service ◽  
New Era ◽  
Service Personnel ◽  
Educational Concept ◽  
College Library ◽  
Big Data Technology

Embracing the challenge and mission of the new era, colleges and universities, as an important battle filed for cultivation of talents, should be guided by the educational concept of "Three-all Education", to train and transport outstanding talents for the country. Based on the concept of "Three-all Education" and centering on the innovative ability of college library service personnel training, this paper utilizes big data technology and means to realize the idea of "all-process education, all-staff education and all-round education", and explores the cultivation strategies for college library service personnel, which not only meets the urgent needs of college reform and development. It is also of great practical significance to cultivate young talents in the new era.

scholarly journals Research and Practice of Big Data Technology in Energy System

2021 ◽  
Vol 898 (1) ◽  
pp. 012003
Author(s):  
Zhihui Ye ◽  
Jie Qian ◽  
Wenjuan Wang ◽  
Dingke Shi ◽  
Lifeng Chen
Keyword(s):  
Big Data ◽  
Energy Management ◽  
General Pattern ◽  
Energy System ◽  
Air Conditioning System ◽  
Energy Management Systems ◽  
Industrial Enterprises ◽  
Big Data Application ◽  
And Performance ◽  
Big Data Technology

Abstract The characteristics of the massive data is inspected which is accumulated by the energy management system of industrial enterprises during the production process. They are real-time, massive, non-linear, and even unstructured, meanwhile some implicit correlation are hidden between them. These correlations have not yet been fully learned and unearthed. Here big data technology is proposed to improve the availability of energy data for the energy saving and consumption reduction. The general pattern of big data application is proposed in energy management systems. On this basis, some algorithms are applied to the actual management process, including parameter prediction, status monitoring, operation optimization and performance evaluation. Finally, two practical examples of the constructed model are presented including compressed air prediction and Operation prediction of air-conditioning system. The results show that big data technology can improve the efficiency of data acquisition, expand data applications, and exert greater data value.

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

Big for Everyone? Big Data, Firm Size and Performance

2020 ◽  
Author(s):  
Raffaele Conti ◽  
Miguel Godinho de Matos ◽  
giovanni valentini
Keyword(s):  
Big Data ◽  
Firm Size ◽  
And Performance

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.

scholarly journals Tuberculosis in Epidemic Prevention and Control Based on Big Data Technology

2021 ◽  
Vol 1881 (4) ◽  
pp. 042036
Author(s):  
Jiao Tan ◽  
Yonghong Ma ◽  
Ke Men ◽  
Jing Lei ◽  
Hairui Zhang ◽  
...  
Keyword(s):  
Big Data ◽  
Prevention And Control ◽  
And Control ◽  
Big Data Technology
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