THE QUALITY OF DATA AND METADATA IN A DATAWAREHOUSE

The data quality is an important concept for the economic applications used in the process of analysis. The databases were revolutionized when they first started being used with large amountsof data. From this point on, an important process is represented by storing multidimensional data in dataware...

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Main Author: Carmen Răduţ
Format: Article
Language:English
Published: Universităţii "Constantin Brâncoveanu" 2013-01-01
Series:Strategii Manageriale
Subjects:
Online Access:http://www.strategiimanageriale.ro/images/images_site/articole/article_bb83ebc430b67243db43a3e959656f6f.pdf
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author Carmen Răduţ
author_facet Carmen Răduţ
author_sort Carmen Răduţ
collection DOAJ
description The data quality is an important concept for the economic applications used in the process of analysis. The databases were revolutionized when they first started being used with large amountsof data. From this point on, an important process is represented by storing multidimensional data in datawarehouses, in order to be processed and analyzed with the purpose of obtaining information which can be used for decision making in various activities. Specialty studies show that most data is not useful for the purpose it has been collected because of both the lack of quality and incorrect techniques of manipulating this data. This study will try to offer a process of obtaining quality data in data archives and how to avoid quality anomalies inside metadata.
format Article
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publisher Universităţii "Constantin Brâncoveanu"
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series Strategii Manageriale
spelling doaj-art-8a51a69d43a24fd0a543a7bdc2823c382025-08-02T13:13:51ZengUniversităţii "Constantin Brâncoveanu"Strategii Manageriale1844-668X2013-01-01VI1(19)3641THE QUALITY OF DATA AND METADATA IN A DATAWAREHOUSECarmen RăduţThe data quality is an important concept for the economic applications used in the process of analysis. The databases were revolutionized when they first started being used with large amountsof data. From this point on, an important process is represented by storing multidimensional data in datawarehouses, in order to be processed and analyzed with the purpose of obtaining information which can be used for decision making in various activities. Specialty studies show that most data is not useful for the purpose it has been collected because of both the lack of quality and incorrect techniques of manipulating this data. This study will try to offer a process of obtaining quality data in data archives and how to avoid quality anomalies inside metadata.http://www.strategiimanageriale.ro/images/images_site/articole/article_bb83ebc430b67243db43a3e959656f6f.pdfmetadatadata warehousequalityarchitecture
spellingShingle Carmen Răduţ
THE QUALITY OF DATA AND METADATA IN A DATAWAREHOUSE
Strategii Manageriale
metadata
data warehouse
quality
architecture
title THE QUALITY OF DATA AND METADATA IN A DATAWAREHOUSE
title_full THE QUALITY OF DATA AND METADATA IN A DATAWAREHOUSE
title_fullStr THE QUALITY OF DATA AND METADATA IN A DATAWAREHOUSE
title_full_unstemmed THE QUALITY OF DATA AND METADATA IN A DATAWAREHOUSE
title_short THE QUALITY OF DATA AND METADATA IN A DATAWAREHOUSE
title_sort quality of data and metadata in a datawarehouse
topic metadata
data warehouse
quality
architecture
url http://www.strategiimanageriale.ro/images/images_site/articole/article_bb83ebc430b67243db43a3e959656f6f.pdf
work_keys_str_mv AT carmenradut thequalityofdataandmetadatainadatawarehouse
AT carmenradut qualityofdataandmetadatainadatawarehouse