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DKUM
EPF - Faculty of Business and Economics
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Faculty of Business and Economic, Maribor
Faculty of Agriculture and Life Sciences, Maribor
Faculty of Logistics, Celje, Krško
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Title:
INTEGRACIJA PODATKOVNIH VIROV Z UPORABO REFERENČNIH SLOVARJEV IN ALGORITMOV ZA ISKANJE PODOBNOSTI MED NIZI
Authors:
ID
Lačen, Mitja
(
Author
)
ID
Ojsteršek, Milan
(
Mentor
)
More about this mentor...
Files:
MAG_Lacen_Mitja_2012.pdf
(5,00 MB)
MD5: 70E8186965F7BFE7A7D50407B4B76375
PID:
20.500.12556/dkum/ab47ba97-e868-4a85-ab68-a8c89282a8c0
Language:
Slovenian
Work type:
Master's thesis
Typology:
2.09 - Master's Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V sodobnem informacijskem sistemu se vsakodnevno kopiči velika količina podatkov, ki jih podjetja potrebujejo za vsakodnevno poslovanje. Zaradi omenjenega dejstva so podatki težko obvladljivi. V praksi pogosto naletimo na problem združevanja dveh ali več podatkovnih baz v enotno podatkovno bazo. V magistrskem delu predstavimo sistem za združevanje dveh poljubnih podatkovnih baz v enotno podatkovno bazo. Naloga procesa je torej odkriti morebitno redundanco znotraj množice podatkovnih zapisov in vsako resnično entiteto v ciljni podatkovni bazi predstaviti le z enim zapisom.
Keywords:
inteligentni agenti
,
kakovost podatkov
,
podatkovno skladišče
,
upravljanje z matičnimi podatki
,
integracija podatkov o strankah
,
SAP Business Warehouse
Place of publishing:
Maribor
Publisher:
[M. Lačen]
Year of publishing:
2012
PID:
20.500.12556/DKUM-36954
UDC:
004.65:004.89(043)
COBISS.SI-ID:
16165910
NUK URN:
URN:SI:UM:DK:UOLRAPUF
Publication date in DKUM:
19.07.2012
Views:
2428
Downloads:
171
Metadata:
Categories:
KTFMB - FERI
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Secondary language
Language:
English
Title:
Data source integration using reference dictionaries and similarity algorithms
Abstract:
In a modern information system a huge amount of data is daily gathered that companies need for their daily operations. Due to this fact the data are difficult to manage. In practice we often encounter the problem of combining two or more databases into a single database. In this master thesis we present a system for linkage of records from two or more databases into a single database. The task of this process is therefore detect a possible redundancy of data records, detect duplicates and define only one real entity record in the target database.
Keywords:
intelligent agent
,
data quality
,
data warehouse
,
master data management
,
customer data integration
,
SAP Business Warehouse
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