Integration of Big Data and IoT: A Review
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Abstract
In today’s world, data is everywhere — whether it’s coming from devices, sensors, or digital systems used across different industries. As this data continues to grow, it has become increasingly important not only to collect it but also to make sense of it in real-time. That’s where the combination of Big Data and the Internet of Things (IoT) comes in. While IoT helps collect information from the physical world using connected devices, Big Data tools help process that information to identify functional patterns, trends, or warnings. This paper examines how these two technologies work together and how they’re being applied in realworld situations, such as hospitals, smart cities, farms, and factories. It also discusses the benefits, such as faster decisionmaking and more efficient systems. Still, it doesn’t overlook the challenges, including data security, handling large volumes, and ensuring that different systems work smoothly together. In short, this review examines how Big Data and IoT support each other, where they’re already making a difference, and what needs to be improved going forward. The goal isn’t just to explain the technology, but to give a real picture of how it’s shaping the way we work and live today — and what that could mean for the future.
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