Fas t, accu rat e and sca lab le dat a ana lys is tec hni que s are nee ded to ext ract use ful information from huge pile of data. Data warehouse is a single, integrated source of decision su pp or t in fo rm at io n fo rm ed by co ll ect in g da ta fr om mu lt ip le so ur ce s, in te rn al to th e organization as well as external, and transforming and summarizing this information to enable improved decision making. Data warehouse is designed for easy access by users to large amounts of information, and data access is typically supported by specialized analytical tools and app lica tio ns. Typ ica l app lic ati ons inc lud e dec isi on su ppo rt sy ste ms and exe cut ion information system. Data mining is the exploration and analysis of large quantities of data in order to disco ver valid, nove l, poten tially useful, and ultim ately understan dable patterns in data.

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Unit-3: Data warehouse implementation, computation of data cubes, modeling OLAP data, OLAP queries manager, data warehouse back end tools, complex aggregation at multiple granularities, tuning and testing of data warehouse. Unit-4: Data mining definition & task, KDD versus data mining, data mining techniques, tools and applications.