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(a) What is Data Mining? What is OLAP? How is data mining different from OLAP?
Data mining: Data mining is essential utilized today by organizations with an in number buyer center retail, budgetary, correspondence, and promoting associations. It empowers these organizations to figure out relationships around "interior" components, for example, value, item positioning, or staff abilities, and "outer" variables, for example, financial pointers, rivalry, and client demographics. Also, it empowers them to figure out the effect on deals, client fulfillment, and corporate benefits. At long last, it empowers them to "penetrate down" into synopsis data to view part transactional information.
OLAP: OLAP stays for Online Analytical Processing and is designing used to accumulate, regulate and process multidimensional data and outfit brisk access to this data for demonstrative purposes. OLAP is for the most part used inside business reporting for promoting, deals, human possession organization and diverse business fields. OLAP mulls over brisk execution of complex database requests continuously. OLAP energizes complex data sees through data turning, complex data transforming, and data showing. OLAP manages dimensional information, which takes into account much quicker execution of complex database inquiries contrasted with social database administration frameworks. The information structure that OLAP make from the social information is called OLAP block. OLAP solid shapes might be considered multidimensional cluster. A business may need to investigate its bargains information by item, by item classification, by deals chief, or something else. These diverse investigating rules are the OLAP cube measurements.
Differences between Data mining and OLAP: Both Data mining and OLAP are two of the regular Business Intelligence innovations, which allude to workstation based

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