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Title:Testiranje podatkovnega skladišča : diplomsko delo
Authors:ID Gracej, Maja (Author)
ID Kamišalić Latifić, Aida (Mentor) More about this mentor... New window
ID Beranič, Tina (Co-mentor)
Files:.pdf VS_Gracej_Maja_2023.pdf (2,79 MB)
MD5: 905BBBE2F51A1045986559056CC5F9CC
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Zagotavljanje verodostojnosti in celovitosti uporabljenih ter vnesenih podatkov v podatkovno skladišče je ključnega pomena. Testiranje podatkovnega skladišča omogoča zagotovitev zanesljivosti integriranih podatkov, kar je ključno za informirano odločanje podjetja in pravilno analitiko. Namen diplomskega dela je zajeti temeljne koncepte podatkovnih skladišč ter raziskati področje testiranja s poudarkom na testiranju procesa ETL in v obsegu tega raziskati različne tehnike testiranja ter izpostaviti pogoste izzive, ki jih testiranje prinaša. Podrobneje se bomo usmerili v področje testiranja procesa ETL, in sicer kako ga načrtovati in avtomatizirati. Vključili bomo praktični prikaz testiranja procesa ETL z uporabo orodja Apache NiFi, vse to pa zahteva tudi pripravo testnega okolja.
Keywords:podatkovno skladišče, proces ETL, testiranje, Apache NiFi
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[M. Gracej]
Year of publishing:2023
Number of pages:1 spletni vir (1 datoteka PDF (IX, 57 f.))
PID:20.500.12556/DKUM-86570 New window
UDC:004.62.052(043.2)
COBISS.SI-ID:183288323 New window
Publication date in DKUM:31.01.2024
Views:159
Downloads:18
Metadata:XML RDF-CHPDL 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:14.12.2023

Secondary language

Language:English
Title:Data warehouse testing
Abstract:The importance of ensuring the reliability and integrity of data used and entered into a data warehouse is essential. Data warehouse testing ensures the reliability of integrated data, which is essential for informed decision-making and accurate analysis. The purpose of this thesis is to cover the fundamental concepts of data warehouses and explore the field of testing with a focus on ETL process testing. Within the scope of this study, various testing techniques will be examined, highlighting common challenges associated with testing. We will delve more deeply into the area of ETL process testing, specifically addressing its planning and automation. We will include a practical demonstration of ETL process testing using the Apache NiFi tool, all of which also requires the preparation of a test environment.
Keywords:data warehouse, ETL process, testing, Apache NiFi


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