Implementation of business intelligence tools using open source approach

Detalhes bibliográficos
Autor(a) principal: Gameiro, Carlos Alberto Monteiro
Data de Publicação: 2011
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/5995
Resumo: Discovering business intelligence is the modern organization’s way of gaining competitive advantage in their market, supported by Decisions Support Systems or Business Intelligence Systems. The first step in any decision support system is to create the repository of data for the system to collect and display any information requested. This repository is the source of all business intelligence and implementing it requires the right software tools, essential for the data warehouse. Therefore, when choosing the software tool, the project size, budget constraints and risks should be kept in mind. Overall the right choice depends on the organization’s needs and ambitions. The essential work to be done here is to demonstrate that open source software can be an accurate and reliable tool to implement data warehouse projects. The two ETL solutions used were: • Pentaho Kettle Data Integration Community Editions (Open Source Software) • SQL Server 2005 Integrations Services (SSIS) Enterprise Edition (Proprietary Software) The proprietary, commercial software in question (as well as others) is widely used. However, an open source solution has key features recognized by organizations worldwide and this work will show the different functionalities and benefits of this open source approach.
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spelling Implementation of business intelligence tools using open source approachBusiness intelligenceData warehouseOpen source softwareKettleDiscovering business intelligence is the modern organization’s way of gaining competitive advantage in their market, supported by Decisions Support Systems or Business Intelligence Systems. The first step in any decision support system is to create the repository of data for the system to collect and display any information requested. This repository is the source of all business intelligence and implementing it requires the right software tools, essential for the data warehouse. Therefore, when choosing the software tool, the project size, budget constraints and risks should be kept in mind. Overall the right choice depends on the organization’s needs and ambitions. The essential work to be done here is to demonstrate that open source software can be an accurate and reliable tool to implement data warehouse projects. The two ETL solutions used were: • Pentaho Kettle Data Integration Community Editions (Open Source Software) • SQL Server 2005 Integrations Services (SSIS) Enterprise Edition (Proprietary Software) The proprietary, commercial software in question (as well as others) is widely used. However, an open source solution has key features recognized by organizations worldwide and this work will show the different functionalities and benefits of this open source approach.Nas organizações a descoberta de conhecimento do negócio é o processo para alcançar vantagem competitiva sobre os seus concorrentes, e esta é apoiada por Sistemas de Suporte á decisão ou por Business Intelligence termo atualmente em voga.A primeira coisa a fazer em qualquer tipo de sistema de apoio à decisão é criar o repositório de dados de informação onde o sistema vai recolher e mostrar todas as informações solicitadas. Este repositório é a fonte de todo o conhecimento do negócio, e a sua construção exige as ferramentas de software corretas para o desenvolvimento do data warehouse. Deve-se por isso ao escolher a ferramenta de software pensar nos requisitos para a seleção do software do mercado, a escolha do software envolve o tamanho do projecto, orçamento, ou riscos a tomar em mente. Globalmente, a escolha certa depende das necessidades de organização e suas ambições. O trabalho essencial a ser feito aqui é demonstrar que o software open source pode ser uma ferramenta fiavél e eficaz para implementar projetos de data warehouse. As duas soluções ETL utilizadas foram: • Pentaho Data Integration Chaleira Editions Comunidade (Open Source Software) • SQL Server 2005 Integration Services (SSIS) Enterprise Edition (Software Proprietário) O software proprietario, comercial em questão (assim como outros) é amplamente utilizado. No entanto, uma solução de open source tem características fundamentais que são reconhecidas por organizações em todo o mundo e este trabalho irá mostrar as diferentes funcionalidades e benefícios desta abordagem de software open source.2013-11-22T11:26:51Z2011-01-01T00:00:00Z20112011-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfapplication/octet-streamhttp://hdl.handle.net/10071/5995engGameiro, Carlos Alberto Monteiroinfo: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:RCAAP2023-11-09T17:38:00Zoai:repositorio.iscte-iul.pt:10071/5995Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:17:22.933749Repositório 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 Implementation of business intelligence tools using open source approach
title Implementation of business intelligence tools using open source approach
spellingShingle Implementation of business intelligence tools using open source approach
Gameiro, Carlos Alberto Monteiro
Business intelligence
Data warehouse
Open source software
Kettle
title_short Implementation of business intelligence tools using open source approach
title_full Implementation of business intelligence tools using open source approach
title_fullStr Implementation of business intelligence tools using open source approach
title_full_unstemmed Implementation of business intelligence tools using open source approach
title_sort Implementation of business intelligence tools using open source approach
author Gameiro, Carlos Alberto Monteiro
author_facet Gameiro, Carlos Alberto Monteiro
author_role author
dc.contributor.author.fl_str_mv Gameiro, Carlos Alberto Monteiro
dc.subject.por.fl_str_mv Business intelligence
Data warehouse
Open source software
Kettle
topic Business intelligence
Data warehouse
Open source software
Kettle
description Discovering business intelligence is the modern organization’s way of gaining competitive advantage in their market, supported by Decisions Support Systems or Business Intelligence Systems. The first step in any decision support system is to create the repository of data for the system to collect and display any information requested. This repository is the source of all business intelligence and implementing it requires the right software tools, essential for the data warehouse. Therefore, when choosing the software tool, the project size, budget constraints and risks should be kept in mind. Overall the right choice depends on the organization’s needs and ambitions. The essential work to be done here is to demonstrate that open source software can be an accurate and reliable tool to implement data warehouse projects. The two ETL solutions used were: • Pentaho Kettle Data Integration Community Editions (Open Source Software) • SQL Server 2005 Integrations Services (SSIS) Enterprise Edition (Proprietary Software) The proprietary, commercial software in question (as well as others) is widely used. However, an open source solution has key features recognized by organizations worldwide and this work will show the different functionalities and benefits of this open source approach.
publishDate 2011
dc.date.none.fl_str_mv 2011-01-01T00:00:00Z
2011
2011-10
2013-11-22T11:26:51Z
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dc.language.iso.fl_str_mv eng
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