TensorFlow-Based Big Data Analytics for IoT Networks: A Study


Year : 2025 | Volume : 03 | Issue : 01 | Page : 31-38
    By

    Kazi Kutubuddin Sayyad Liyakat,

  1. Professor and Head, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India

Abstract

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Internet of Things (IoT) has exploded in recent years, connecting billions of devices generating massive amounts of data. This deluge presents both a significant opportunity and a considerable challenge. While the potential insights hidden within this data are transformative, customary data processing techniques frequently fall short when handled with the velocity, volume, and variety of IoT-generated data. This is where Big Data technologies step in, offering the tools and infrastructure required to effectively manage, process, and investigate this data, ultimately unlocking the true potential of IoT networks. The propagation of IoT procedures has occasioned in an unprecedented surge of data, posing significant challenges for customary data management schemes. Leveraging Big Data tools is crucial for effectively processing and analyzing this massive influx of information, enabling valuable insights and driving informed decision-making within IoT networks. This study explores the application of Big Data principles and tools in the context of IoT, highlighting its role in areas like real-time analytics, predictive maintenance, anomaly detection, and improved resource optimization. By examining key use cases and exploring the associated technological advancements, the study demonstrates how Big Data empowers IoT networks to deliver enhanced efficiency, improved security, and innovative solutions across various industries.

Keywords: Bigdata, IoT, TensorFlow, data structure, predictive maintenance, smart city

[This article belongs to International Journal of Data Structure Studies ]

How to cite this article:
Kazi Kutubuddin Sayyad Liyakat. TensorFlow-Based Big Data Analytics for IoT Networks: A Study. International Journal of Data Structure Studies. 2025; 03(01):31-38.
How to cite this URL:
Kazi Kutubuddin Sayyad Liyakat. TensorFlow-Based Big Data Analytics for IoT Networks: A Study. International Journal of Data Structure Studies. 2025; 03(01):31-38. Available from: https://journals.stmjournals.com/ijdss/article=2025/view=0


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Regular Issue Subscription Review Article
Volume 03
Issue 01
Received 21/02/2024
Accepted 22/02/2025
Published 10/03/2025
Publication Time 383 Days
157

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