Data engineering
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Data engineering is a software engineering approach to the building of data systems, to enable the collection and usage of data. This data is usually used to enable subsequent analysis and data science, which often involves machine learning. Making the data usable usually involves substantial computing and storage, as well as data processing.
Data engineering is a software engineering approach to the building of data systems, to enable the collection and usage of data. This data is usually used to enable subsequent analysis and data science, which often involves machine learning. Making the data usable usually involves substantial computing and storage, as well as data processing. ==See also== Big data Computer science Information technology List of data science software Software engineering ==References== ==Further reading== Ian Macdonald (1986). "Information engineering". in: Information Systems Design Methodologies. T.W. Olle et al. (ed.). North-Holland. Ian Macdonald (1988). "Automating the Information engineering methodology with the Information Engineering Facility". In: Computerized Assistance during the Information Systems Life Cycle. T.W. Olle et al. (ed.). North-Holland. James Martin and Clive Finkelstein. (1981). Information engineering. Technical Report (2 volumes), Savant Institute, Carnforth, Lancs, UK. James Martin (1989). Information engineering. (3 volumes), Prentice-Hall Inc. ==External links== The Complex Method IEM Rapid Application Development Enterprise Engineering and Rapid Delivery of Enterprise Architecture Data Engineering Vault, a connected knowledge hub covering data engineering concepts, tools, and patterns
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