After the success of DevOps introduce DataOps in enterprise culture

Detalhes bibliográficos
Autor(a) principal: Silva, Nuno Filipe Paulo da
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/159934
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
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spelling After the success of DevOps introduce DataOps in enterprise cultureDataOpsDevOpsAgileData ManagementData QualitySDG 4 - Quality educationSDG 8 - Decent work and economic growthSDG 9 - Industry, innovation and infrastructureSDG 11 - Sustainable cities and communitiesSDG 12 - Responsible production and consumptionSDG 16 - Peace, justice and strong institutionsSDG 17 - Partnerships for the goalsDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da InformaçãoDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementA lot of organizations implemented DevOps processes with success. This allowed different areas like development, operations, security and quality work together. This cooperation, and processes associated to the work with these areas are producing excellent results. The organizations are developing many applications that support operation and are producing a lot of data. This data has a significant value for organizations because must be used in analysis, reporting and more recently data science projects to support decisions. It is time to take decisions supported in data and for this is necessary to transform organizations in a data-driven organizations and for this we need processes to deal with this data across all teams. This dissertation follows a design science research approach to apply multiple analytical methods and perspectives to create an artifact. The type of evidence within this methodology is a systematic literature review, with the goal to attain insights into the current state-of-the art research of DataOps implementation. Additionally, proven best practices from the industry are examined in depth to further strengthen the credibility. Thereby, the systematic literature review shall be used to pinpoint, analyze, and comprehend the obtainable empirical studies and research questions. This methodology supports the main goal of this dissertation, to develop and propose evidence-based practice guidelines for the DataOps implementation that can be followed by organizations.Santos, Vitor Manuel Pereira Duarte dosRUNSilva, Nuno Filipe Paulo da2023-11-14T12:37:32Z2023-10-242023-10-24T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/159934TID:203386337enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:42:26Zoai:run.unl.pt:10362/159934Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:57:46.707638Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv After the success of DevOps introduce DataOps in enterprise culture
title After the success of DevOps introduce DataOps in enterprise culture
spellingShingle After the success of DevOps introduce DataOps in enterprise culture
Silva, Nuno Filipe Paulo da
DataOps
DevOps
Agile
Data Management
Data Quality
SDG 4 - Quality education
SDG 8 - Decent work and economic growth
SDG 9 - Industry, innovation and infrastructure
SDG 11 - Sustainable cities and communities
SDG 12 - Responsible production and consumption
SDG 16 - Peace, justice and strong institutions
SDG 17 - Partnerships for the goals
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
title_short After the success of DevOps introduce DataOps in enterprise culture
title_full After the success of DevOps introduce DataOps in enterprise culture
title_fullStr After the success of DevOps introduce DataOps in enterprise culture
title_full_unstemmed After the success of DevOps introduce DataOps in enterprise culture
title_sort After the success of DevOps introduce DataOps in enterprise culture
author Silva, Nuno Filipe Paulo da
author_facet Silva, Nuno Filipe Paulo da
author_role author
dc.contributor.none.fl_str_mv Santos, Vitor Manuel Pereira Duarte dos
RUN
dc.contributor.author.fl_str_mv Silva, Nuno Filipe Paulo da
dc.subject.por.fl_str_mv DataOps
DevOps
Agile
Data Management
Data Quality
SDG 4 - Quality education
SDG 8 - Decent work and economic growth
SDG 9 - Industry, innovation and infrastructure
SDG 11 - Sustainable cities and communities
SDG 12 - Responsible production and consumption
SDG 16 - Peace, justice and strong institutions
SDG 17 - Partnerships for the goals
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
topic DataOps
DevOps
Agile
Data Management
Data Quality
SDG 4 - Quality education
SDG 8 - Decent work and economic growth
SDG 9 - Industry, innovation and infrastructure
SDG 11 - Sustainable cities and communities
SDG 12 - Responsible production and consumption
SDG 16 - Peace, justice and strong institutions
SDG 17 - Partnerships for the goals
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
publishDate 2023
dc.date.none.fl_str_mv 2023-11-14T12:37:32Z
2023-10-24
2023-10-24T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/159934
TID:203386337
url http://hdl.handle.net/10362/159934
identifier_str_mv TID:203386337
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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