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Encyclopedia of Database Systems pp 561–564Cite as

Data Cleaning

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Definition

Owing to differences in conventions between the external sources and the target data warehouse as well as due to a variety of errors, data from external sources may not conform to the standards and requirements at the data warehouse. Therefore, data has to be transformed and cleaned before it is loaded into a data warehouse so that downstream data analysis is reliable and accurate. Data Cleaning is the process of standardizing data representation and eliminating errors in data. The data cleaning process often involves one or more tasks each of which is important on its own. Each of these tasks addresses a part of the overall data cleaning problem. In addition to tasks which focus on transforming and modifying data, the problem of diagnosing quality of data in a database is important. This diagnosis process, often called data profiling, can usually identify data quality issues and whether or not the data cleaning process is meeting its goals.

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Author information

Authors and Affiliations

  1. Microsoft Research, Redmond, WA, USA

    Venkatesh Ganti

Authors
  1. Venkatesh Ganti
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Editor information

Editors and Affiliations

  1. College of Computing, Georgia Institute of Technology, 266 Ferst Drive, 30332-0765, Atlanta, GA, USA

    LING LIU (Professor) (Professor)

  2. Database Research Group David R. Cheriton School of Computer Science, University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, ON, Canada

    M. TAMER ÖZSU (Professor and Director, University Research Chair) (Professor and Director, University Research Chair)

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© 2009 Springer Science+Business Media, LLC

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Ganti, V. (2009). Data Cleaning. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_592

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