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Most college courses in statistical analysis and data mining are focus on the mathematical techniques for analyzing data structures, rather than the practical steps necessary to create them. But in the business world, the vast majority of situations suitable for data mining require data that are scattered in many different files, formats, databases, and tables. Complex procedures must be designed to perform the Extract, Transform, and Load (ETL) functions necessary to bring this data from various sources systems and formats into a common data structure suitable for data mining and statistical analysis.
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