Using SQL String Functions to Clean Raw Data

This article discusses how to clean and transform raw data using SQL functions, focusing on data extracted from Google Sheets. It highlights common issues encountered when working with messy data and provides solutions using built-in SQL string functions such as split_part(), lower(), try_to_number(), iff(), round(), len(), charindex(), and to_date(). The article also emphasizes the importance of maintaining separate databases for raw and transformed data, following ELT principles.

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