Application of cloud computing platform in industrial big data processing
Ziyan Yao

TL;DR
This paper explores how cloud computing enhances industrial big data processing by improving efficiency, security, and cost-effectiveness, through case studies and analysis of challenges and future trends.
Contribution
It provides a comprehensive analysis of cloud computing applications in industrial big data, including real-time processing, predictive maintenance, and addressing implementation challenges.
Findings
Improved data processing efficiency and security in industrial settings
Effective strategies for overcoming scalability and privacy challenges
Future integration prospects with AI and machine learning technologies
Abstract
With the rapid growth and increasing complexity of industrial big data, traditional data processing methods are facing many challenges. This article takes an in-depth look at the application of cloud computing technology in industrial big data processing and explores its potential impact on improving data processing efficiency, security, and cost-effectiveness. The article first reviews the basic principles and key characteristics of cloud computing technology, and then analyzes the characteristics and processing requirements of industrial big data. In particular, this study focuses on the application of cloud computing in real-time data processing, predictive maintenance, and optimization, and demonstrates its practical effects through case studies. At the same time, this article also discusses the main challenges encountered during the implementation process, such as data security,…
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Taxonomy
TopicsAdvanced Computational Techniques and Applications · Wireless Sensor Networks and IoT · Advanced Sensor and Control Systems
