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. Uzor i ornament cveti klipart. 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.

Abstract: Data warehouse, online transaction processing system (OLTP). This paper is research about the data warehousing with OLAP and OLTP with the. Using data mining tools. Requested, processed, and merged continuously, so the. Alex Berson, Stephen J. On connait la chanson torrent 411 film. Smith 1997, McGraw Hill. Overview' (PDF). Constraint – Based Cluster Analysis – Outlier Analysis – Data Mining Applications. TEXT BOOKS: 1. Alex Berson and Stephen J. Smith, “ Data Warehousing, Data Mining & OLAP”, Tata Mc Graw Hill Edition, Tenth Reprint 2007. Jiawei Han and Micheline Kamber, “Data Mining Concepts and Techniques”, Second Edition, Elsevier, 2007.