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Data normalization involves detecting and then correcting or deleting incomplete, inaccurate, or irrelevant records defining processes for ensuring that data can be trusted and used

Data normalization involves

detecting and then correcting or deleting incomplete, inaccurate, or irrelevant records

defining processes for ensuring that data can be trusted and used by the entire organization

developing a data model that can be used to analyze and communicate data needs

dividing a relational database into two or more tables and defining relationships between them

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