IoT and Big Data Ecosystems: A Comprehensive Review of Technologies, Use Cases, and Research Trends
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V6I1P102Keywords:
Internet of Things, Big Data, IoT Architecture, Data Analytics, Smart Cities, Healthcare, Industrial Automation, Data SecurityAbstract
The Internet of Things (IoT) and Big Data analytics have revolutionized the technological landscape, creating a symbiotic relationship that drives innovation and efficiency. IoT refers to interconnected devices embedded with sensors and software that collect and share vast amounts of data. With the rapid expansion of IoT devices, the volume of data generated has surged exponentially. This data, characterized by its high velocity, volume, and variety, necessitates the use of advanced Big Data technologies to process, analyze, and extract valuable insights. This paper explores the convergence of IoT and Big Data, highlighting their architecture, applications, and transformative impact across industries. For instance, in healthcare, real-time monitoring enabled by IoT devices, coupled with Big Data analytics, improves patient outcomes. Similarly, smart cities leverage this integration for efficient resource management and enhanced urban living. Despite these benefits, challenges such as data security, privacy concerns, and scalability persist. The paper also examines emerging trends, such as edge computing and artificial intelligence that are shaping the future of IoT and Big Data integration
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