IA Survey: Optimizing Factors in Big Data Complexity

Authors

  • Masoumeh Gholipour

Keywords:

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Abstract

The primary goal of this survey is to identify and optimize factors contributing to big data complexity.This involves a comprehensive analysis of technological, organizational, and procedural elements that impact the management and utilization of large datasets across various industries.

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References

Chen, C., Zhang, C., & Zhang, Y. (2020). Big Data Analytics: A Survey. Journal of Big Data, 7(1), 1-33.

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Published

2024-06-01

How to Cite

Masoumeh Gholipour. (2024). IA Survey: Optimizing Factors in Big Data Complexity. Pegem Journal of Education and Instruction, 14(2), 391–404. Retrieved from https://pegegog.net/index.php/pegegog/article/view/4126

Issue

Vol. 14 No. 2 (2024): PEGEGOG

Section

Article

License

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