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\section{Data Cleaning}  see: Trends in Cleaning Relational Data, Tamer: Data curation at scale, Holistic Data Cleaning: Putting violations into context.  Use of formal rules to define how data should "look like". These rules vary in expressiveness and can be distinguished in:  \begin{itemize}  \item  Functional Dependencies \item  Conditional Functional Dependencies. \item  Matching Dependencied \item  Denial Constraints. \end{itemize}  These declarative forms can represent relations and constraints among rows and columns in the dataset.  Methodoldgy: