Zusammenfassung
To provide good results and decisions in data-driven systems, data quality must be ensured as a primary consideration. An important aspect of this is data cleaning. Although many different algorithms and tools already exist for data cleaning, an end-to-end data quality solution is still needed. In this paper, we present our vision of a well-founded end-to-end data quality optimizer. In contrast ...

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