Home » R&I Project Hub » SealedGRID » Project White Papers » Big Data Technology for Scientific Applications

Big Data Technology for Scientific Applications

Big Data refers to volumes which exceed the capacity of current online processing and storage systems. Public data and online data search are hampered because data sets remain scattered. Data storage is a technology issue which seems to be solvable soon by cloud computing, but at this moment a large-capacity and low-cost storage solution represent a long-term challenge which requires new paradigms and research. Big Data is not only narrowed to data viewpoint, but it has surfaced as a stream that includes combined technologies, tools, and real-world applications. The paper exhibits a simple, general and short introduction of Big Data from Internet of Things (IoT) devices. The purpose of this paper is to analyze different technologies used for storing and managing Big Data for research purposes.

Publication Date: