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Title:GRADNJA PODATKOVNEGA SKLADIŠČA ZA ANALIZO USPEŠNOSTI ŠTUDENTOV
Authors:Kolmanič, Dejan (Author)
Hölbl, Marko (Mentor) More about this mentor... New window
Sevčnikar, Andrej (Co-mentor)
Files:.pdf VS_Kolmanic_Dejan_2011.pdf (2,09 MB)
 
Language:Slovenian
Work type:Bachelor thesis/paper (mb11)
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V prvem delu diplomskega dela predstavimo razvoj podatkovnih skladišč skozi zgodovino, njihovo načrtovanje, izgradnjo in uporabo. Podrobneje sta prikazana dva uveljavljena in najpogosteje uporabljena pristopa izgradnje. Nato na praktičnem primeru prikažemo faze izgradnje podatkovnega skladišča za izvajanje analiz o uspešnosti študentov. Izvajanje analiz je prikazano s tehnologijo OLAP, s pomočjo katere lahko analiziramo podatke in posledično pridobimo nove informacije. Primer zajema postopek dimenzijskega modeliranja s pomočjo zvezdne sheme, primere ETL procesov in izgradnjo OLAP kocke. Uporabo OLAP kocke smo nato prikazali na zanimivih primerih analiziranja, ampak žal le s testnimi podatki.
Keywords:podatkovno skladišče, dimenzijsko modeliranje, ETL, OLAP
Year of publishing:2011
Publisher:[D. Kolmanič]
Source:Maribor
UDC:004.657/.658:005(043.2)
COBISS_ID:15350038 Link is opened in a new window
NUK URN:URN:SI:UM:DK:DT3CRANB
Views:1694
Downloads:191
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:BUILDING A DATA WAREHOUSE FOR ANALYZING STUDENT PROGRESS
Abstract:In the first part of the diploma thesis we present the development of data warehouses through history, their design, construction and use. More specifically, we show two established and widely used approaches of construction. The practical case describes the construction phase of a data warehouse to perform analysis on students performance. The given data is analyzed with OLAP technology. Practical case includes dimensional modeling using a star schema, examples of ETL processes and building an OLAP cube. The use of OLAP cube is shown on interesting examples of analyzing, but unfortunately only with test data.
Keywords:data warehouse, dimensional modeling, ETL, OLAP


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