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arXiv:2202.07659cs.DL

Survey of Big Data sizes in 2021

Luca Clissa

Early discovery. Linked by one identifiable commenter. This paper is outside the main ranking; a mention is not an endorsement.

Abstract

The modern increase in data production is driven by multiple factors, and several stakeholders from various sectors contribute to it. Although drawing a comparison of the sizes at stake for different big data players is hard due to the lack of official data, this report tries to reconstruct the yearly orders of magnitude generated by some of the most important organizations by mining several online sources. The estimation is based on retrieving meaningful unitary data production measures for each of the big data sources considered, and the yearly amounts are then obtained by conjecturing reasonable per-unit sizes. The final result is summarized in the form of a bubble plot.

arXiv comments
6 pages, 1 figure, 1 table
Journal reference
DOI
doi:10.3389/fdata.2023.1271639
Subjects
cs.DLDigital Libraries

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Linked by 1 identifiable commenter in 1 comment across 1 thread, from Feb 2022 to Feb 2022. Found in 1 HN submission from Feb 2022 to Feb 2022. Open submission discussions.

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