Cleaning

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Although this step is where the most transformations are needed, usually, we`ll mostly use the ETL tool features. During this step, data cleaning, data quality checks and data integration are performed. This means that individual columns are checked for valid data (e.g. ranges for numeric values) and business rules are enforced. Also, data from different sources are integrated.

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