Bulletin of the Technical Committee on Data Engineering Erscheinungsort: Washington Verlag: IEEE Computer Society
Erscheinungsjahr: 2000
Jahrgang: 23 Heft: 4 Seiten: 3-13
Erstveröffentlichung
2000
Abstract (EN)
We classify data quality problems that are addressed by data cleaning and provide an overview of the main solution approaches. Data cleaning is especially required when integrating heterogeneous data sources and should be addressed together with schema-related data transformations. In data warehouses, data cleaning is a major part of the so-called ETL process. We also discuss current tool support for data cleaning.