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Title:Podatkovni in funkcionalni vidik združevanja različnih podatkovnih virov
Authors:ID Dobrotinšek, Rok (Author)
ID Fister, Iztok (Mentor) More about this mentor... New window
ID Brezočnik, Lucija (Co-mentor)
Files:.pdf VS_Dobrotinsek_Rok_2022.pdf (1,25 MB)
MD5: 53F56C58235DF86BEDD24A65B4C453C4
Work type:Bachelor thesis/paper (mb11)
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu smo raziskali različna okolja podatkovnih virov. Raziskali smo načine in tehnologije združevanja podatkovnih virov in enega analizirali. Implementirali smo nove oziroma nevsakdanje metode združevanja. Opisali in predstavili smo podatkovne rešitve za naročnika spletnega portala o nepremičninah. Uporabili smo tehnologijo Microsoft SQL Server. Večino praktičnega dela smo razvili v programu Microsoft SQL Management Studio. Podrobno smo opisali rešitve, ki vračajo podatke preko shranjenih procedur, in slikovno prikazali rezultate. Raziskali smo tudi varnost in jo implementirali na podatkovni ravni.
Keywords:Poizvedba, SQL, Združevanje različnih podatkovnih virov, ERP
Year of publishing:2022
PID:20.500.12556/DKUM-83292 New window
Publication date in DKUM:08.11.2022
Categories:KTFMB - FERI
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License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:14.10.2022

Secondary language

Title:Data and functional aspects of combining multiple data sources
Abstract:In this research we have explored different data source environments. We have investigated different ways and technologies of combining data sources and have selected one for analysis. We implemented new or unorthodox aggregation methods. We have described and presented data solutions for a real estate web portal client. We used Microsoft SQL Server technologies. Most of the practical work was developed in Microsoft SQL Management Studio. We described in detail the solutions that return data with stored procedures, and illustrated the results pictorially. We also investigated security and implemented it at the data level.
Keywords:Query, SQL, Combining multiple data-sources, ERP


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