Gdynia, Poland

Big data. Data Engineering

Language: English Studies in English
Subject area: computer science
University website:
Big Data
Big data is data sets that are so voluminous and complex that traditional data-processing application software are inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. There are a number of concepts associated with big data: originally there were 3 concepts volume, variety, velocity. Other concepts later attributed with big data are veracity (i.e., how much noise is in the data) and value.
Data ( DAY-tə, DAT-ə, DAH-tə) is a set of values of qualitative or quantitative variables.
Engineering is the creative application of science, mathematical methods, and empirical evidence to the innovation, design, construction, operation and maintenance of structures, machines, materials, devices, systems, processes, and organizations. The discipline of engineering encompasses a broad range of more specialized fields of engineering, each with a more specific emphasis on particular areas of applied mathematics, applied science, and types of application. See glossary of engineering.
Engineering is the conscious application of science to the problem of economic production.
Halbert Powers Gillette (1910). cited in: T.J. Hoover & J.C. Lounsbury Fish. The Engineering Profession. Stanford University Press, 1941. p. 463
Architects and engineers are among the most fortunate of men since they build their own monuments with public consent, public approval and often public money.
John Prebble, in Disaster at Dundee, 1956. p. 16
A man should build a house with his own hands before he calls himself an engineer.
Alexander Solzhenitsyn (1963), One Day in the Life of Ivan Denisovich, p. 98
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