Assessing Big Data Analytics Performance in Industry 5.0 Operations: A Comparative Experiment

Abstract

Big Data analytics performance is critical in the dynamic world of Industry 5.0, where human engagement with cutting-edge technology is essential. Based on a comparison experiment, this empirical research highlights the significance of optimal data processing algorithms by providing important insights into the relationship between data amount and processing speed. The requirement of resource-intensive demands for efficient resource allocation and optimization in Industry 5.0 operations is emphasized. Operation C's exceptional performance in terms of mistake rates, data correctness, and processing quality highlights the need of careful data management procedures. As Industry 5.0 develops, scalability becomes more important. Operation C is a perfect example of how to adapt to higher data volumes. The way forward for an industrial future that is more responsive, sustainable, and efficient is shaped by this study.

Keywords

• industry 5.0
• big data analytics
• scalability analysis
• error rates
• resource utilization
• data processing speed