M. Sadiku. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 8 (6):
243-252(December 2024)
Abstract
Big data and the technologies it relies on, such as AI and ML, are the driving force behind progress in the telecommunications industry. Telecommunications companies have always managed enormous volumes of network activity data and find ways they can put it to good use. Big data for telecom is the fuel that can and will drive the entire industry toward higher revenues and better customer service. Telecom companies must be able to collect this massive amount of data from different sources, analyze it, and distribute the insights to disparate databases. This paper examines the roles of big data and big data analytics in telecommunications. Matthew N. O. Sadiku | Paul A. Adekunte | Janet O. Sadiku "Big Data in Telecommunications" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-6 , December 2024, URL: https://www.ijtsrd.com/papers/ijtsrd71573.pdf Paper Url: https://www.ijtsrd.com/engineering/telecommunications/71573/big-data-in-telecommunications/matthew-n-o-sadiku
%0 Journal Article
%1 sadiku2024telecommunications
%A Sadiku, Matthew N. O. Sadiku | Paul A. Adekunte | Janet O.
%D 2024
%J INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT
%K BigData analytics, data data, industry telecommunication
%N 6
%P 243-252
%T Big Data in Telecommunications
%U https://www.ijtsrd.com/engineering/telecommunications/71573/big-data-in-telecommunications/matthew-n-o-sadiku
%V 8
%X Big data and the technologies it relies on, such as AI and ML, are the driving force behind progress in the telecommunications industry. Telecommunications companies have always managed enormous volumes of network activity data and find ways they can put it to good use. Big data for telecom is the fuel that can and will drive the entire industry toward higher revenues and better customer service. Telecom companies must be able to collect this massive amount of data from different sources, analyze it, and distribute the insights to disparate databases. This paper examines the roles of big data and big data analytics in telecommunications. Matthew N. O. Sadiku | Paul A. Adekunte | Janet O. Sadiku "Big Data in Telecommunications" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-6 , December 2024, URL: https://www.ijtsrd.com/papers/ijtsrd71573.pdf Paper Url: https://www.ijtsrd.com/engineering/telecommunications/71573/big-data-in-telecommunications/matthew-n-o-sadiku
@article{sadiku2024telecommunications,
abstract = {Big data and the technologies it relies on, such as AI and ML, are the driving force behind progress in the telecommunications industry. Telecommunications companies have always managed enormous volumes of network activity data and find ways they can put it to good use. Big data for telecom is the fuel that can and will drive the entire industry toward higher revenues and better customer service. Telecom companies must be able to collect this massive amount of data from different sources, analyze it, and distribute the insights to disparate databases. This paper examines the roles of big data and big data analytics in telecommunications. Matthew N. O. Sadiku | Paul A. Adekunte | Janet O. Sadiku "Big Data in Telecommunications" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-6 , December 2024, URL: https://www.ijtsrd.com/papers/ijtsrd71573.pdf Paper Url: https://www.ijtsrd.com/engineering/telecommunications/71573/big-data-in-telecommunications/matthew-n-o-sadiku
},
added-at = {2025-01-23T12:55:10.000+0100},
author = {Sadiku, Matthew N. O. Sadiku | Paul A. Adekunte | Janet O.},
biburl = {https://www.bibsonomy.org/bibtex/27b87959737322d91f4b6b5422b622898/ijtsrd},
dnbtitleid = {870634275},
interhash = {1221161a63df466caee686bd2230198a},
intrahash = {7b87959737322d91f4b6b5422b622898},
issn = {2456-6470},
journal = {INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT},
keywords = {BigData analytics, data data, industry telecommunication},
month = dec,
number = 6,
pages = {243-252},
timestamp = {2025-01-23T12:55:10.000+0100},
title = {Big Data in Telecommunications
},
url = {https://www.ijtsrd.com/engineering/telecommunications/71573/big-data-in-telecommunications/matthew-n-o-sadiku},
volume = 8,
year = 2024
}