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Elements of data organization

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Abstract

We use the term database to refer to all data captured, stored, organized, and made available for access and processing. A large collection of data is often heterogeneous, as it is the result of data integration, the merging of data from different and diverse data sources. When planning to build a large and/or heterogeneous database (buzzword: big data) while ensuring the quality of the collected data, special challenges arise that we address in this chapter.

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© 2023 Springer-Verlag GmbH Germany, part of Springer Nature

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Plaue, M. (2023). Elements of data organization. In: Data Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-67882-4_1

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  • DOI: https://doi.org/10.1007/978-3-662-67882-4_1

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-67881-7

  • Online ISBN: 978-3-662-67882-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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