Differentiation between data warehousing and data mining
Briefly describe the differentiation between data warehousing and data mining ?
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Data mining is a technique for contrasting big amounts of data for the reason of finding patterns. Data mining is usually employed for forecasting and models. Data mining is the procedure of correlations, patterns through shifting throughout large data repositories using pattern recognition methods.
Data warehousing is the central repository for the data of numerous business systems in an enterprise. Data from a variety of resources managed and extracted in the data warehouse selectively for analysis and convenience.
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