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Title:PODATKOVNO SKLADIŠČE ZA ANALIZO PODATKOV V TURIZMU ZA MLADE
Authors:Krajnc, Jernej (Author)
Hölbl, Marko (Mentor) More about this mentor... New window
Sevčnikar, Andrej (Co-mentor)
Files:.pdf VS_Krajnc_Jernej_2013.pdf (1,32 MB)
 
Language:Slovenian
Work type:Bachelor thesis/paper (mb11)
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu sta predstavljena načrtovanje in izgradnja podatkovnega skladišča za analizo podatkov v turizmu. Najprej je opisan namen podatkovnih skladišč, sledi pa opredelitev metod za njihovo izdelavo. Osrednji del predstavljajo dejanski problemi, ki so se pojavljali med razvijanjem podatkovnega skladišča, in njihove rešitve. Treba je bilo pridobiti tudi podatke turistične agencije, ki smo jih nato vključili v izdelavo podatkovnega skladišča in analizirali. Prav tako so predstavljeni podatki o uporabljenem programskem okolju, podan je podroben opis uporabljenih komponent in prikazane so končne analize, opravljene na podlagi pridobljenih rezultatov.
Keywords:dimenzijsko modeliranje, podatkovno skladišče, pridobivanje in obdelava podatkov, OLAP
Year of publishing:2013
Publisher:[J. Krajnc]
Source:Maribor
UDC:004.6(043.2)
COBISS_ID:17489430 Link is opened in a new window
NUK URN:URN:SI:UM:DK:WVPQWWGY
Views:1423
Downloads:81
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:DATAWAREHOUSE FOR ANALYZING DATA OF STUDENTS' TOURISM
Abstract:The diploma consists of planning and constructing a data warehouse for analyzing data in tourism. The purpose of data warehouses and the methods of producing are presented first. The actual problems that have appeared during the process of producing the warehouse and their solutions present the main part. Obtaining the data from tourist agencies, which we have then included in the production of the data warehouse and analyzed, was necessary. Also, the data of used programming environment, detailed description of used components and final analysis of the acquired results is presented.
Keywords:dimensional modeling, data warehouse, ETL, OLAP


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