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pro vyhledávání: '"Abdullah Ahamd Basuhail"'
Autor:
Khalil Ahmad Alsulbi, Maher Ali Khemakhem, Abdullah Ahamd Basuhail, Fathy Eassa Eassa, Kamal Mansur Jambi, Khalid Ali Almarhabi
Publikováno v:
Symmetry, Vol 13, Iss 11, p 1990 (2021)
The sum of Big Data generated from different sources is increasing significantly with each passing day to extent that it is becoming challenging for traditional storage methods to store this massive amount of data. For this reason, most organizations
Externí odkaz:
https://doaj.org/article/3be6799f537c42d5811177e748f4f92f
Autor:
Fathy Eassa Eassa, Kamal Mansur Jambi, Maher Khemakhem, Khalid Almarhabi, Abdullah Ahamd Basuhail, Khalil Ahmad Alsulbi
Publikováno v:
Symmetry; Volume 13; Issue 11; Pages: 1990
Symmetry, Vol 13, Iss 1990, p 1990 (2021)
Symmetry, Vol 13, Iss 1990, p 1990 (2021)
The sum of Big Data generated from different sources is increasing significantly with each passing day to extent that it is becoming challenging for traditional storage methods to store this massive amount of data. For this reason, most organizations
Publikováno v:
Advances in Science, Technology and Engineering Systems, Vol 4, Iss 1 (2019)
Big data can be considered to be at the forefront of the present and future research activities. The volume of data needing to be processed is growing dramatically in both velocity and variety. In response, many big data technologies have emerged to