Foundational Issues on Big Data Science and Engineering
| Autor: | Olga Ormandjieva, Alaa Alsaig, Vangular Alagar |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Service (systems architecture)
Computer science business.industry Science and engineering 05 social sciences Big data Realization (linguistics) 02 engineering and technology Query language Data science Metadata Broad spectrum 020204 information systems 0202 electrical engineering electronic engineering information engineering 0509 other social sciences 050904 information & library sciences business |
| Zdroj: | DASC/PiCom/DataCom/CyberSciTech |
| DOI: | 10.1109/dasc/picom/datacom/cyberscitec.2018.00141 |
| Popis: | Big Data (BD) management and analysis has become a central-piece of serious research because of its potential to offer many benefits to a broad spectrum of science, engineering, business, and service communities. The full realization of the benefits depends upon understanding the challenges faced by BD, and creating a data-centric computing paradigm to overcome these challenges. This paper explores a few issues along this direction. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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