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Big data is revolutionizing several industries by enabling large-scale analytics and data-driven decision-making. However, there are still significant problems, including scalability, governance, computational costs, and real-time processing bottlenecks. This paper provides a bibliometric analysis to explore new topics, research trends, and unexplored areas in big data. By examining academic publications to pinpoint significant challenges and proposed solutions, the study provides insights into understudied research areas that require further investigation.

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Analyzing Big Data Research: A Informetric Perspective on Challenges

  • 会议论文

  • 发表日期：

    2026年

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  • Parbhat Gupta,
  • Atulya Gupta,
  • Gurpreet Kour Khalsa,
  • Megha Saxena,
  • Rupam Kumari,
  • Dinesh Kumar

摘要

Big data is revolutionizing several industries by enabling large-scale analytics and data-driven decision-making. However, there are still significant problems, including scalability, governance, computational costs, and real-time processing bottlenecks. This paper provides a bibliometric analysis to explore new topics, research trends, and unexplored areas in big data. By examining academic publications to pinpoint significant challenges and proposed solutions, the study provides insights into understudied research areas that require further investigation.