Data Wrangling in Database Systems: Purging of Dirty Data

Data Wrangling in Database Systems: Purging of Dirty Data

Researchers need to be able to integrate ever-increasing amounts of data into their institutional databases, regardless of the source, format, or size of the data. It is then necessary to use the increasing diversity of data to derive greater value from data for their organization. The processing of...

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Bibliographic Details
Main Author: Otmane Azeroual
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Data
Subjects:
information systems
data management systems
heterogeneous data
data integration
dirty data identification
data quality
Online Access:https://www.mdpi.com/2306-5729/5/2/50

Internet

https://www.mdpi.com/2306-5729/5/2/50

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