Big Data Analytics in Industrial IoT Environments
The intersection of Big Data Analytics and Industrial Internet of Things (IIoT) introduces a transformative potential to improve operational efficiency, predictive maintenance, and decision-making in smart industrial systems. But such methods rarely deployed in practice, are not interoperable, and are not scalable. This study presents a resilient real-time analytics framework that combines edge-cloud computing, digital twins and secure data governance. Through validation with industrial data and benchmarking of performance the study fills the important gaps in empirical validation, legacy system integration, and fault tolerance that allow for actionable insights in a range of industrial sectors.
C. Madana Kumar Reddy, Smita Gambhire, Manoj Kumar et al.
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