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Anton Dolhopolov, Arnaud Castelltort and Anne Laurent
Analytical data platforms have been used for decades to improve organizational performance. Starting from the data warehouses used primarily for structured data processing, through the data lakes oriented for raw data storage and post-hoc data analyses, ...
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Carlos Serôdio, Pedro Mestre, Jorge Cabral, Monica Gomes and Frederico Branco
In the context of Industry 4.0, this paper explores the vital role of advanced technologies, including Cyber?Physical Systems (CPS), Big Data, Internet of Things (IoT), digital twins, and Artificial Intelligence (AI), in enhancing data valorization and m...
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Jorge Oliveira e Sá, Francisco Rebelo, Diogo Silva, Gabriel Teles, Diogo Ramos and José Romeu
Today, everything is connected, including the exchange of data and the generation of new information. As a result, large amounts of data are being collected at an ever-increasing rate and in a variety of forms, a phenomenon now known as Big Data. Recent ...
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Sarah Benjelloun, Mohamed El Mehdi El Aissi, Younes Lakhrissi and Safae El Haj Ben Ali
Thanks to continuously evolving data management solutions, data-driven strategies are considered the main success factor in many domains. These strategies consider data as the backbone, allowing advanced data analytics. However, in the agricultural field...
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Filippos Pelekoudas-Oikonomou, José C. Ribeiro, Georgios Mantas, Georgia Sakellari and Jonathan Gonzalez
The Internet of Medical Things (IoMT) has risen significantly in recent years and has provided better quality of life by enabling IoMT-based health monitoring systems. Despite that fact, innovative security mechanisms are required to meet the security co...
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Dohoon Lee, David Camacho and Jason J. Jung
Many vehicles are connected to the Internet, and big data are continually created. Various studies have been conducted involving the development of artificial intelligence, machine learning technology, and big data frameworks. The analysis of smart mobil...
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Theofanis P. Raptis, Claudio Cicconetti, Manolis Falelakis, Grigorios Kalogiannis, Tassos Kanellos and Tomás Pariente Lobo
In terms of the calibre and variety of services offered to end users, smart city management is undergoing a dramatic transformation. The parties involved in delivering pervasive applications can now solve key issues in the big data value chain, including...
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P.V. Kumaraguru, Vidyavathi Kamalakkannan, Gururaj H L, Francesco Flammini, Badria Sulaiman Alfurhood and Rajesh Natarajan
Terabytes of data are now being handled by an increasing number of apps, and rapid user decision-making is hampered by data analysis. At the same time, there is a rise in interest in big data analysis for social networks at the moment. Thus, adopting dis...
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Chouaib El Hachimi, Salwa Belaqziz, Saïd Khabba, Badreddine Sebbar, Driss Dhiba and Abdelghani Chehbouni
Smart management of weather data is an essential step toward implementing sustainability and precision in agriculture. It represents an important input for numerous tasks, such as crop growth, development, yield, and irrigation scheduling, to name a few....
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Wisal Khan, Teerath Kumar, Cheng Zhang, Kislay Raj, Arunabha M. Roy and Bin Luo
The competent software architecture plays a crucial role in the difficult task of big data processing for SQL and NoSQL databases. SQL databases were created to organize data and allow for horizontal expansion. NoSQL databases, on the other hand, support...
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