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Development of Cloud-based Big Data solutions to support Business Intelligence for telco data analysis

Vito Cianchini

Development of Cloud-based Big Data solutions to support Business Intelligence for telco data analysis.

Rel. Alessandro Fiori. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2021

Abstract:

With the rapid expansion of connected devices and networks and the resultant exponential growth of data it has become crucial for businesses being able to transform endless streams of data into actionable insights by handling data with efficient tools and in appropriate infrastructure. The need of flexible, scalable and cost effective solutions is leading more and more companies to the adoption of Cloud computing solutions and services. The case study, regards the request from a large Telco company of implementing effective cloud-based solutions in order to easily unlock the value of customer data to analyze, and covers the entire process from data acquisition, model deployment, integration of information from different systems, and the implementation of a cloud-based platform solutions supporting business intelligence and dashboarding tools.

Relatori: Alessandro Fiori
Anno accademico: 2021/22
Tipo di pubblicazione: Elettronica
Numero di pagine: 85
Informazioni aggiuntive: Tesi secretata. Fulltext non presente
Soggetti:
Corso di laurea: Corso di laurea magistrale in Data Science And Engineering
Classe di laurea: Nuovo ordinamento > Laurea magistrale > LM-32 - INGEGNERIA INFORMATICA
Aziende collaboratrici: STORM REPLY S.R.L. con unico socio
URI: http://webthesis.biblio.polito.it/id/eprint/21290
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