Explain the difference between olap and data mining?
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Answer / Anupam Bala
OLAP (Online Analytical Processing) is a type of database technology used for querying and analyzing large amounts of data from multiple dimensions or perspectives. Data mining, on the other hand, is a process of discovering patterns and trends in large datasets using statistical, mathematical, and machine learning techniques. The main difference lies in their focus: OLAP focuses on providing interactive analysis of predefined queries, while data mining focuses on finding new insights and patterns that were not previously known.
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