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Title:POSTAVITEV PODATKOVNEGA SKLADIŠČA IN SISTEMA POROČANJA ZA JAVNI ZAVOD LEKANE LJUBLJANA
Authors:ID Kustec, Boštjan (Author)
ID Bernik, Igor (Mentor) More about this mentor... New window
Files:.pdf VS_Kustec_Bostjan_2010.pdf (2,10 MB)
MD5: 16D12BAB5062CB39BB424FB2D081E59D
PID: 20.500.12556/dkum/3475ffb4-bed9-4113-887a-e4def2d538e2
 
Language:Slovenian
Work type:Undergraduate thesis
Organization:FOV - Faculty of Organizational Sciences in Kranj
Abstract:V tem diplomskem delu predstavljam projekt izgradnje podatkovnega skladišča za potrebe Javnega zavoda Lekarna Ljubljana. Kot uvod je predstavljena problematika poslovne inteligence, teorija podatkovnega skladišča, nato analiza stanja in izdelava arhitekture sistema. V nadaljevanju je predstavljena izdelava rešitve za poslovno obveščanje za potrebe Javnega zavoda Lekarna Ljubljana. Predstavljeni so ključni gradniki poslovne inteligence s tehnologijo Microsoft, gradnja OLAP kock, poročil in preglednic s pomočjo Microsoft Office orodij.
Keywords:Podatkovno skladišče, poslovna inteligenca, OLAP kocka, ETL, Microsoft SQL.
Place of publishing:Maribor
Year of publishing:2010
PID:20.500.12556/DKUM-15784 New window
COBISS.SI-ID:6802451  New window
NUK URN:URN:SI:UM:DK:SLWNVX1K
Publication date in DKUM:20.01.2011
Views:2889
Downloads:317
Metadata:XML DC-XML DC-RDF
Categories:FOV
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Secondary language

Language:English
Title:IMPLEMENTING DATA WAREHOUSE AND REPORTING SYSTEM FOR JAVNI ZAVOD LEKARNE LJUBLJANA
Abstract:This thesis presents the project of implementing data warehouse for the needs of Javni Zavod Lekarna Ljubljana (Public Institution Pharmacy Ljubljana). As an introduction, the problems of business intelligence and data warehouse are presented, followed by detailed analysis and system architecture design. The following work represents business intelligence solutions built on requirements of Javni Zavod Lekarna Ljubljana. Key elements of business intelligence, based on a Microsoft technology, are presented, such as OLAP cubes, reports and spreadsheets.
Keywords:Data warehouse, business intelligence, OLAP cube, ETL, Microsoft SQL


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