TYPHON: Hybrid Data Lakes for Real-Time Big Data Analytics – An Evaluation Framework in the Telecom Industry - Artificial Intelligence Applications and Innovations Access content directly
Conference Papers Year : 2021

TYPHON: Hybrid Data Lakes for Real-Time Big Data Analytics – An Evaluation Framework in the Telecom Industry

Abstract

In this paper we aim to present outcomes from the evaluation and deployment of the TYPHON H2020 project (The TYPHON project receives funding under the European Unions Horizon 2020 Research and Innovation Programme under grant agreement No. 780251) in a container-based production ecosystem supported by Hellenic Telecommunications Organization S.A. (OTE). The main objective is to implement a successful production-ready deployment following best practices in terms of infrastructure, monitoring and high availability while achieving analysis in real-time of massive streams of data. Moreover, our intent is to evaluate the TYPHON architecture when integrated by a Telecom Industry user and present the benefits of its adaptation by IT Units for predictive maintenance purposes.
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hal-03788999 , version 1 (27-09-2022)

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Antonios Misargopoulos, George Papavassiliou, Christos A. Gizelis, Filippos Nikolopoulos-Gkamatsis. TYPHON: Hybrid Data Lakes for Real-Time Big Data Analytics – An Evaluation Framework in the Telecom Industry. 17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.128-137, ⟨10.1007/978-3-030-79157-5_12⟩. ⟨hal-03788999⟩
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