Abstract
The service information system is constantly transforming to a networked information model, and domestic hardware equipment is constantly updated. Independent controllability has also become the basic requirement of the new information age. With the development of the information age and the new era of independent control, more and more services and applications will also be deployed on autonomous and controllable cloud platforms. With the rapid development of Internet technology in the information age and the resulting changes in productivity, people can record, store, and transmit more and more information. When information becomes recordable, storage, and easy to transmit, information becomes modern meaning nowadays, an era of information explosion characterized by massive, volatile, timely transmission, and diverse forms has truly come, forming what is now called the “big data era”. This article mainly introduces the analysis of sports big data based on the cloud platform and the research on the impact on the sports economy and intends to provide ideas and directions for the analysis of sports big data and the research on the impact on the sports economy. This paper proposes a cloud platform-based sports big data analysis and research methods for its impact on the sports economy, including the use of Hadoop cloud platform big data processing systems and support vector regression algorithms for cloud platform-based sports big data analysis and sports economy. The experimental results of this paper show that the average correlation between sports big data analysis and sports economic development is 0.5155, and appropriate cloud platform-based sports big data analysis plays a positive role in promoting sports economic development.
Highlights
Today’s world is an era of data explosion
Big data has penetrated into all walks of life and is an important part of the global economy
It will be difficult for modern economy to have more innovation and vitality. e development and application of big data have become important sources to enhance the competitiveness of the country and enterprises
Summary
Today’s world is an era of data explosion. IDC report shows that the global digital volume was about 130 EB in 2005, and it will reach 40000 EB by 2020. ere is no doubt that human society has entered the era of big data. Big data has penetrated into all walks of life and is an important part of the global economy. Under the background of big data, the analysis of sports big data based on cloud platform and the research of its impact on sports economy is imminent. Aiming at the big data processing problem in the recommendation system, Zhong et al proposed a cloud platform collaborative filtering algorithm based on clustering and correlation. Liu et al proposed an SOM-based dynamic adaptive virtual machine anomaly detection algorithm and proposed an SOM-based unified modeling method for machine performance in the detection area, which avoided the cost of modeling a single virtual machine and improved the cloud platform the detection speed and reliability of large-scale virtual machines. E innovations of this paper are as follows: (1) it proposes to use Hadoop-based sports big data analysis cloud platform to conduct experiments; (2) it proposes the establishment of sports economic data under the background of big data; (3) it conducts sports big data analysis cloud platform module design
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