  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, privacy protection,
performance and scalability issues, and proposes corresponding solution
strategies. Finally, this article looks forward to the future trends of the
integration of cloud computing and industrial big data, as well as the
application prospects of emerging technologies such as artificial intelligence
and machine learning in this field. The results of this study not only provide
practical guidance for cloud computing applications in the industry, but also
provide a basis for further research in academia.
