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.
Mining tools For example, with OLAP solution, you can request information about. Databases is the entity model OLTP, OLAP, Metadata and Data warehouse. HOLAP technologies attempt to combine the advantages of MOLAP and ROLAP[11]. Data Warehousing, Data Mining and OLTP; Alex Berson, Stephen J. Data Objects – Spatial Data Mining – Multimedia Data Mining – Text Mining – Mining the World Wide Web. 10 Total Hrs. Contoh kop surat resmi perusahaan. 60 Reference Books: 1. Jiawei Han, Micheline Kamber and Jian Pei “Data Mining Concepts and Techniques”, Third Edition, Elsevier, 2011. Alex Berson and Stephen J. Smith “Data Warehousing, Data Mining & OLAP”.
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. Building electrical installation design pdf.