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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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Chia-Ping Tsai, Che-Wei Chang, Hung-Chang Hsiao and Haiying Shen
Not Only SQL (NoSQL) is a critical technology that is scalable and provides flexible schemas, thereby complementing existing relational database technologies. Although NoSQL is flourishing, present solutions lack the features required by enterprises for ...
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Panagiotis Moutafis, George Mavrommatis, Michael Vassilakopoulos and Antonio Corral
Aiming at the problem of spatial query processing in distributed computing systems, the design and implementation of new distributed spatial query algorithms is a current challenge. Apache Spark is a memory-based framework suitable for real-time and batc...
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Nasim Ahmed, Andre L. C. Barczak, Mohammad A. Rashid and Teo Susnjak
Big data frameworks play a vital role in storing, processing, and analysing large datasets. Apache Spark has been established as one of the most popular big data engines for its efficiency and reliability. However, one of the significant problems of the ...
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Otmane Azeroual and Renaud Fabre
Big data have become a global strategic issue, as increasingly large amounts of unstructured data challenge the IT infrastructure of global organizations and threaten their capacity for strategic forecasting. As experienced in former massive information ...
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V.A. Belov,E.V. Nikulchev
Pág. 95 - 102
One of the most important tasks of a modern big data processing platform is the task of choosing data storage formats. The choice of formats is based on various performance criteria, which depend on the class of objects and the requirements. One of the m...
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Imen Chebbi, Nedra Mellouli, Imed Riadh Farah and Myriam Lamolle
Big data analysis assumes a significant role in Earth observation using remote sensing images, since the explosion of data images from multiple sensors is used in several fields. The traditional data analysis techniques have different limitations on stor...
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Rakib Hossen, Md Whaiduzzaman, Mohammed Nasir Uddin, Md. Jahidul Islam, Nuruzzaman Faruqui, Alistair Barros, Mehdi Sookhak and Md. Julkar Nayeen Mahi
The Internet of Things (IoT) has seen a surge in mobile devices with the market and technical expansion. IoT networks provide end-to-end connectivity while keeping minimal latency. To reduce delays, efficient data delivery schemes are required for disper...
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Jin-young Choi, Minkyoung Cho and Jik-Soo Kim
Recently, ?Big Data? platform technologies have become crucial for distributed processing of diverse unstructured or semi-structured data as the amount of data generated increases rapidly. In order to effectively manage these Big Data, Cloud Computing ha...
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Roberto Tardío, Alejandro Maté and Juan Trujillo
In recent years, several new technologies have enabled OLAP processing over Big Data sources. Among these technologies, we highlight those that allow data pre-aggregation because of their demonstrated performance in data querying. This is the case of Apa...
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