Research on Marketing System Construction of Internet Platform Based on Big Data Technology

Author(s):  
Dianyi Wu ◽  
Siwei Long ◽  
Xiaolin Zhou ◽  
Yan Zhou
2021 ◽  
Vol 33 (6) ◽  
pp. 1-19
Author(s):  
Linze Li ◽  
Jun Zhang

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.


2021 ◽  
Vol 257 ◽  
pp. 02015
Author(s):  
Xiangming Lin ◽  
Kai Liu ◽  
Yixuan Li

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.


2021 ◽  
Vol 257 ◽  
pp. 02036
Author(s):  
Shen Jian

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.


2021 ◽  
Vol 33 (6) ◽  
pp. 0-0

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.


2021 ◽  
Vol 5 (4) ◽  
pp. 1-3
Author(s):  
Yanan Song

Under the background of national development strategy in the new era, cross-border e-commerce with the help of Internet platform can realize the interconnection between producers and consumers, and gradually expand the influence of international trade. Based on big data technology, this paper builds an industry chain with cross-border e-commerce members' participation, and analyzes the specific application of big data in the product support, internal operation, external marketing, logistics service and service evaluation of cross-border e-commerce industry chain. The purpose is to effectively promote the healthy development of cross-border e-commerce and improve China's trade and economic level.


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.


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