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In addition, data marts often differ from information warehouses in the kind of knowledge they store. Many contain abstract knowledge to speed up evaluation and reporting, versus the complete detailed information units. In such cases, the info is refined and customized to satisfy the specific wants of the target market. Data mart directors also build additional logical and bodily constructs to speed data access efficiency. A good instance is a company’s sales department. The department manager needs to see knowledge on products, prospects and the gross sales team’s efficiency metrics.

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Data analysts use data lakes to conduct predictive analysis from unstructured data. For example, a knowledge lake might store texts from social media critiques that companies can use for sentiment analysis. Data analysts can use sentiment evaluation to detect unfavorable opinion tendencies for an organization. A database is organized storage …

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