Enhancing Decision-Making in IoT Ecosystems with Big Data Analytics and Hadoop Frameworks

Authors

  • Anu Vij,Aniket Goyal Author

Keywords:

Big Data Analytics (BDA), Decision-Making, Hadoop Framework, IoT Ecosystems, Machine Learning

Abstract

Background: Decision-making in IoT ecosystems involves using data from interconnected devices to make real-time, informed decisions that improve efficiency and functionality. This research tackles the significant challenge of real-time decision-making in Internet of Things (IoT) ecosystems by integrating Big Data Analytics (BDA) and Hadoop frameworks. This study aims to develop and assess a sophisticated decision-making model that utilizes BDA and Hadoop to boost operational efficiency, predictive maintenance, and actionable insights in IoT settings.

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References

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Nisar, Q. A., Nasir, N., Jamshed, S., Naz, S., Ali, M., & Ali, S. (2021). Big data management and environmental performance: role of big data decision-making capabilities and decision-making quality. Journal of Enterprise Information Management, 34(4), 1061-1096.

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Published

2025-01-10

How to Cite

Enhancing Decision-Making in IoT Ecosystems with Big Data Analytics and Hadoop Frameworks (Anu Vij,Aniket Goyal , Trans.). (2025). Cuestiones De Fisioterapia, 54(2), 1334-1350. https://cuestionesdefisioterapia.com/index.php/es/article/view/840