A Survey on Big Data Analytics: Tools, Issues and Challenges

Authors

  • Soumya k Research scholar St. Joseph's College (autonomous) Trichy,India
  • P Joseph Charles Department of information technology St. Joseph's College (autonomous) Trichy, India
  • Kavitha S Department of computer science Nitte Meenakshi Institute of Technology Bangalore , India

Keywords:

Hadoop, Spark, Scalability, Data Privacy Security.

Abstract

This survey paper provides an overview of the current state of big data analytics, including tools, issues, and challenges. Big data analytics refers to the process of analyzing large and complex data sets to extract valuable insights and knowledge. The paper discusses various tools and technologies used for big data analytics, such as Hadoop, Spark, and NoSQL databases, as well as machine learning and deep learning techniques. The paper also highlights some of the major issues and challenges associated with big data analytics, including data quality, data privacy and security, and the need for scalable and efficient algorithms. Other challenges discussed include the lack of skilled professionals, the high cost of big data infrastructure, and the need for effective data visualization and interpretation.

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Published

2023-10-25

How to Cite

Soumya k, P Joseph Charles, & Kavitha S. (2023). A Survey on Big Data Analytics: Tools, Issues and Challenges. Chinese Journal of Computational Mechanics, (5), 493–503. Retrieved from http://jslxxb.cn/index.php/jslxxb/article/view/4394

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Articles