How data cleaning and data transformation is important for data warehouse?
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*Data cleaning, also called data cleansing or scrubbing, deals with detecting and removing errors and inconsistencies from data in order to improve the quality of data.
*Scheduled data integration, or ETL, is an important aspect of warehousingbecause it consolidates data from multiple sources and transforms it into a useful format. This allows the user to easily access data from one interface, lessening the reliance on your IT team
*Scheduled data integration, or ETL, is an important aspect of warehousingbecause it consolidates data from multiple sources and transforms it into a useful format. This allows the user to easily access data from one interface, lessening the reliance on your IT team
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