ETL Process Modeling Conceptual for Data Warehouses: A Systematic Mapping Study

BACKGROUND: A data warehouse (DW) is an integrated collection of subject-oriented data in the support of decision making. Importantly, the integration of data sources is achieved through the use of ETL (Extract, Transform, and Load) processes. It is therefore extensively recognized that the appropri...

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Váldodahkki: Muñoz, Lilia (author)
Eará dahkkit: Mazón, Jose Norberto (author), Juan, Trujillo (author)
Materiálatiipa: article
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Almmustuhtton: 2018
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Liŋkkat:https://ieeexplore.ieee.org/abstract/document/5893784/
http://ridda2.utp.ac.pa/handle/123456789/4918
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author Muñoz, Lilia
author2 Mazón, Jose Norberto
Juan, Trujillo
author2_role author
author
author_browse Juan, Trujillo
Mazón, Jose Norberto
Muñoz, Lilia
author_facet Muñoz, Lilia
Mazón, Jose Norberto
Juan, Trujillo
author_role author
collection Repositorio Institucional de documento digitales de acceso abierto de la UTP
dc.creator.none.fl_str_mv Muñoz, Lilia
Mazón, Jose Norberto
Juan, Trujillo
dc.date.none.fl_str_mv 06/16/2011
06/16/2011
2018-06-14T13:37:43Z
2018-06-14T13:37:43Z
2018-06-14T13:37:43Z
2018-06-14T13:37:43Z
dc.format.none.fl_str_mv application/pdf
text/html
dc.identifier.none.fl_str_mv https://ieeexplore.ieee.org/abstract/document/5893784/
1548-0992
http://ridda2.utp.ac.pa/handle/123456789/4918
http://ridda2.utp.ac.pa/handle/123456789/4918
dc.language.none.fl_str_mv eng
eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/embargoedAccess
dc.source.none.fl_str_mv reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTP
instname:Universidad Tecnológica de Panamá
instacron:U Tecnológica de Panamá
dc.subject.none.fl_str_mv Unified modeling language
Data models
Data warehouses
Load modeling
Systematics
Libraries
Data mining
Unified modeling language
Data models
Data warehouses
Load modeling
Systematics
Libraries
Data mining
dc.title.none.fl_str_mv ETL Process Modeling Conceptual for Data Warehouses: A Systematic Mapping Study
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
description BACKGROUND: A data warehouse (DW) is an integrated collection of subject-oriented data in the support of decision making. Importantly, the integration of data sources is achieved through the use of ETL (Extract, Transform, and Load) processes. It is therefore extensively recognized that the appropriate design of the ETL processes are key factors in the success of DW projects. OBJECTIVE: We assess existing research proposals about ETL process modeling for data warehouse in order to identify their main characteristics, notation, and activities. We also study if these modeling approaches are supported by some kind of prototype or tool. METHOD: We have undertaken a systematic mapping study of the research literature about modeling ETL processes. A mapping study provides a systematic and objective procedure for identifying the nature and extent of the available research by means of research questions. RESULTS: The study is based on a comprehensive set of papers obtained after using a multi-stage selection criteria and are published in international workshops, conferences and journals between 2000 and 2009. CONCLUSIONS: This systematic mapping study states that there is a clear classification of ETL process modeling approaches, but that they are not enough covered by researchers. Therefore, more effort is required to bridge the research gap in modeling ETL processes.
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publishDate 2018
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spelling ETL Process Modeling Conceptual for Data Warehouses: A Systematic Mapping StudyMuñoz, LiliaMazón, Jose NorbertoJuan, TrujilloUnified modeling languageData modelsData warehousesLoad modelingSystematicsLibrariesData miningUnified modeling languageData modelsData warehousesLoad modelingSystematicsLibrariesData miningBACKGROUND: A data warehouse (DW) is an integrated collection of subject-oriented data in the support of decision making. Importantly, the integration of data sources is achieved through the use of ETL (Extract, Transform, and Load) processes. It is therefore extensively recognized that the appropriate design of the ETL processes are key factors in the success of DW projects. OBJECTIVE: We assess existing research proposals about ETL process modeling for data warehouse in order to identify their main characteristics, notation, and activities. We also study if these modeling approaches are supported by some kind of prototype or tool. METHOD: We have undertaken a systematic mapping study of the research literature about modeling ETL processes. A mapping study provides a systematic and objective procedure for identifying the nature and extent of the available research by means of research questions. RESULTS: The study is based on a comprehensive set of papers obtained after using a multi-stage selection criteria and are published in international workshops, conferences and journals between 2000 and 2009. CONCLUSIONS: This systematic mapping study states that there is a clear classification of ETL process modeling approaches, but that they are not enough covered by researchers. Therefore, more effort is required to bridge the research gap in modeling ETL processes.BACKGROUND: A data warehouse (DW) is an integrated collection of subject-oriented data in the support of decision making. Importantly, the integration of data sources is achieved through the use of ETL (Extract, Transform, and Load) processes. It is therefore extensively recognized that the appropriate design of the ETL processes are key factors in the success of DW projects. OBJECTIVE: We assess existing research proposals about ETL process modeling for data warehouse in order to identify their main characteristics, notation, and activities. We also study if these modeling approaches are supported by some kind of prototype or tool. METHOD: We have undertaken a systematic mapping study of the research literature about modeling ETL processes. A mapping study provides a systematic and objective procedure for identifying the nature and extent of the available research by means of research questions. RESULTS: The study is based on a comprehensive set of papers obtained after using a multi-stage selection criteria and are published in international workshops, conferences and journals between 2000 and 2009. CONCLUSIONS: This systematic mapping study states that there is a clear classification of ETL process modeling approaches, but that they are not enough covered by researchers. Therefore, more effort is required to bridge the research gap in modeling ETL processes.2018-06-14T13:37:43Z2018-06-14T13:37:43Z2018-06-14T13:37:43Z2018-06-14T13:37:43Z06/16/201106/16/2011info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://ieeexplore.ieee.org/abstract/document/5893784/1548-0992http://ridda2.utp.ac.pa/handle/123456789/4918http://ridda2.utp.ac.pa/handle/123456789/4918engenginfo:eu-repo/semantics/embargoedAccessreponame:Repositorio Institucional de documento digitales de acceso abierto de la UTPinstname:Universidad Tecnológica de Panamáinstacron:U Tecnológica de Panamáoai:ridda2.utp.ac.pa:123456789/49182021-07-06T15:35:09Z
spellingShingle ETL Process Modeling Conceptual for Data Warehouses: A Systematic Mapping Study
Muñoz, Lilia
Unified modeling language
Data models
Data warehouses
Load modeling
Systematics
Libraries
Data mining
Unified modeling language
Data models
Data warehouses
Load modeling
Systematics
Libraries
Data mining
status_str publishedVersion
title ETL Process Modeling Conceptual for Data Warehouses: A Systematic Mapping Study
title_full ETL Process Modeling Conceptual for Data Warehouses: A Systematic Mapping Study
title_fullStr ETL Process Modeling Conceptual for Data Warehouses: A Systematic Mapping Study
title_full_unstemmed ETL Process Modeling Conceptual for Data Warehouses: A Systematic Mapping Study
title_short ETL Process Modeling Conceptual for Data Warehouses: A Systematic Mapping Study
title_sort ETL Process Modeling Conceptual for Data Warehouses: A Systematic Mapping Study
topic Unified modeling language
Data models
Data warehouses
Load modeling
Systematics
Libraries
Data mining
Unified modeling language
Data models
Data warehouses
Load modeling
Systematics
Libraries
Data mining
url https://ieeexplore.ieee.org/abstract/document/5893784/
http://ridda2.utp.ac.pa/handle/123456789/4918