Big Data Analytics by Cloud Computing in Industry 4.0, A Review

In the context of Industry 4.0, cloud computing offers the scalability, flexibility, and wide range of services required to facilitate big data analytics. This enables enterprises to extract meaningful insights from the vast amounts of data produced by intelligent and networked production processes. Industry 4.0 demands real-time decision-making as cloud-based analytics enable quick processing of streaming data for immediate insights. The combination of big data analytics and cloud computing is driving the digital age in order to expand the processing power. Organizations can expand their computer capabilities according to the amount of data and processing demands thanks to cloud platforms. Cloud computing increases productivity and enables predictive maintenance by analyzing equipment data in real-time and reducing downtime. By evaluating data from several sources, cloud-based analytics enhance supply chain operations and facilitate better inventory control and logistics. Furthermore, real-time processing at the point of data production is made possible by the developing combination of edge computing and cloud analytics, which lowers latency. The present assessment underscores the revolutionary effect of merging big data analytics and cloud computing within the framework of Industry 4.0, stressing the benefits, obstacles, applications, and forthcoming patterns in this ever-evolving domain. The goal of this in-depth analysis is to further our knowledge of how important it will be for Industry 4.0 to integrate Big Data analytics with cloud computing.