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Title:A Comparison of Traditional and Modern Data Warehouse Architectures : zaključno delo
Authors:ID Virant, Rok (Author)
ID Kamišalić Latifić, Aida (Mentor) More about this mentor... New window
ID Šestak, Martina (Comentor)
Files:.pdf VS_Virant_Rok_2021.pdf (3,58 MB)
MD5: 6BF56A356F100A7B5895A46327B0ECB9
PID: 20.500.12556/dkum/ae60b44a-fd2a-4667-8efc-15e7c3cd91a6
 
Language:English
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Data has never been as desired or valued as it is today. The value of data and information over the past decade has not only changed trends in business and the IT industry but has also changed the dynamic of work. Enormous amounts of aggregate data offer companies and other corporations the option to explore and study data samples. Data collection and information processing are new dynamic factors, not only for individuals but also for corporations. Companies and corporations who are able to process large amounts of data in the shortest possible time can place themselves in a leading position in certain professions. In this bachelor’s thesis we will describe the basic concepts and factors that have shaped new, cloud-based data warehouse technologies. At the same time, we also emphasize why and how these technologies are used. We focus on how the changing technology influenced the users and their consumption of data, the changing dynamics of work as well as the changes of data itself. In the practical part, we created two DWH environments (on-premises and cloud) that we compare with each other. In the experiment, we underlined the fact that CDWHs are in certain situations not always faster than TDWH.
Keywords:Data Warehouses, Cloud Computing, Outsourcing, Data, Information
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[R. Virant]
Year of publishing:2021
Number of pages:XV, 93 f.
PID:20.500.12556/DKUM-80484 New window
UDC:004.76-022.218(043.2)
COBISS.SI-ID:90435587 New window
Publication date in DKUM:18.10.2021
Views:1305
Downloads:193
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
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:14.09.2021

Secondary language

Language:Slovenian
Title:Primerjava tradicionalnih in sodobnih arhitektur podatkovnih skladišč /
Abstract:Podatki še nikoli niso bili tako zaželeni in cenjeni kot dan danes. Vrednost podatkov in informacij je vzadnjem desetletju ne le spremenila trendov v poslovanju in IT industriji, vendar je tudi dinamiko dela. Ogromne količine zbranih podatkov podjetjem in drugim korporacijam ponujajo možnost raziskovanja in preučevanja poslovnih vzorcev. Zbiranje podatkov in obdelava informacij sta nova dinamična dejavnika, ne le za posameznike, ampak tudi za podjetja. Podjetja in korporacije, ki lahko v najkrajšem možnem času obdelajo največ podatkov, se lahko postavijo na vodilno mesto. V moji diplomski nalogi bomo opisali osnovne koncepte in dejavnike, ki so oblikovali nove tehnologije shranjevanja in procesiranja podatkov v oblaku. Hkrati pa bomo poudarjali, zakaj in kako se te tehnologije spreminjajo. V praktičnem delu smo ustvarili dve okolji podatkovnih skladišč (lokalno in oblačno), ki smo jih kasneje primerjali. V eksperimentu ugotavljamo dejstvo, da so oblačna podatkovna skladišča v določenih situacijah bolj omejena in počasnejša kot pa tradicionalna oblika podatkovnih skladišč.
Keywords:Podatkovna Skladišča, Računalništvo v oblaku, Zunanje izvajanje, Podatki, Informacije


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