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| Registros recuperados : 121 | |
| 1. |  | LAMPERT, V. do N. Simulando a escolha da estratégia para o sistema de produção. In: JORNADA [DO] NÚCLEO DE ESTUDOS EM SISTEMAS DE PRODUÇÃO DE BOVINOS DE CORTE E CADEIA PRODUTIVA, 9., 2014, Porto Alegre. Pecuária agrícola: novos caminhos para a produção: anais. Porto Alegre: UFRGS, 2014. p. 131-147. Editores: Ana Paula Leães, Daniele Zago, Eduardo Antunes Dias, Gabriel Ribas Pereira, Matheus Dhein Dill, Júlio Otávio Jardim Barcellos. Nespro.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 8. | | LIMA, L. C. de; LAMPERT, V. do N. Análise de parâmetros avaliados nas indústrias frigoríficas para bonificação dos animais em município gaúcho. In: SIMPÓSIO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA PECUÁRIA SUL, 8., 2018, Bagé. Resumos... Bagé: Embrapa Pecuária Sul, 2018. p. 10. (Embrapa Pecuária Sul. Eventos técnicos & científicos, 1). Fernando Flores Cardoso, Daniel Portella Montardo, José Carlos Ferrugem Moraes, Marcos Flávio Silva Borba, Sandro da Silva Camargo, editores técnicos.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 18. | | SILVA, M. S. da; MARTIN, V. G.; LAMPERT, V. do N. Identificação e priorização das principais demandas na produção de bovinos de corte brasileira. In: SIMPÓSIO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA PECUÁRIA SUL, 8., 2018, Bagé. Resumos... Bagé: Embrapa Pecuária Sul, 2018. p. 28. (Embrapa Pecuária Sul. Eventos técnicos & científicos, 1). Fernando Flores Cardoso, Daniel Portella Montardo, José Carlos Ferrugem Moraes, Marcos Flávio Silva Borba, Sandro da Silva Camargo, editores técnicos.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 19. | | PINHEIRO, L. S.; SILVA, A. H. S.; BRUM, L. M. L.; LAMPERT, V. do N. Indicadores técnicos-produtivos e socioeconômicos da bovinocultura de corte na região da Campanha Meridional. In: JORNADA [DO] NÚCLEO DE ESTUDOS EM SISTEMAS DE PRODUÇÃO DE BOVINOS DE CORTE E CADEIA PRODUTIVA, 10.; SIMPÓSIO INTERNACIONAL SOBRE SISTEMA DE PRODUÇÃO DE BOVINOS DE CORTE, 2., 2015, Porto Alegre. Fronteiras do conhecimento frente a um ambiente de transição na pecuária de corte: resumos expandidos. Porto Alegre: UFRGS, 2015. p. 167-168. Organizadores Gabriel Ribas Pereira, Tamara Esteves de Oliveira, Júlio Otávio Jardim Barcellos. Nespro.| Biblioteca(s): Embrapa Pecuária Sul. |
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| Registros recuperados : 121 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sul. |
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Data corrente: |
11/01/2019 |
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Data da última atualização: |
23/08/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
BRUM, L. M. da L.; LAMPERT, V. do N.; CAMARGO, S. da S. |
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Afiliação: |
Luciano Moraes da Luz Brum, UNIPAMPA; VINICIUS DO NASCIMENTO LAMPERT, CPPSUL; Sandro da Silva Camargo, UNIPAMPA. |
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Título: |
Business intelligence and data warehouse in agrarian sector: a bibliometric study. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Journal of Agricultural Science, v. 11, n. 2, 353-368, 2019. |
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Idioma: |
Inglês |
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Conteúdo: |
Business Intelligence with Data Warehouse technologies are known in the literature as solutions that allow access to business data dynamically and analytical operations on them. Scientific literature lacks works that investigate the current use of these technologies in the agrarian sector, at the international level in the last 10 years. This work presents a bibliometric analysis, which was done through the ProKnow-C methodology, of the application of Business Intelligence and Data Warehouse technologies in the agrarian sector. The objective is to investigate the dissemination of such technologies in this sector in national and international scale. The main findings were the following: number of papers in last years are increasing. Majority of papers were found in the journal named Computers and Eletronics in Agriculture, with a great number of colaborations between authors of France. Few colaborations between authors from different countries were found. Sandro Bimonte was the most cited author. France and India highlight in researches approaching Data Warehouse and Business Intelligence usage in agrarian sciences. The majority of references from Bibliographic Portfolio were from 2001-2010. 66% of papers use some open source technology. Star schema is the most used modelling technique and the use of Unified Modeling Language by authors of France in agricultural Data Warehouse modelling is encouraged. The main limitations were the impossibility of free access in some databases, absence of research on proprietary solutions of technology market in the rural sector and few number of keyword searches. MenosBusiness Intelligence with Data Warehouse technologies are known in the literature as solutions that allow access to business data dynamically and analytical operations on them. Scientific literature lacks works that investigate the current use of these technologies in the agrarian sector, at the international level in the last 10 years. This work presents a bibliometric analysis, which was done through the ProKnow-C methodology, of the application of Business Intelligence and Data Warehouse technologies in the agrarian sector. The objective is to investigate the dissemination of such technologies in this sector in national and international scale. The main findings were the following: number of papers in last years are increasing. Majority of papers were found in the journal named Computers and Eletronics in Agriculture, with a great number of colaborations between authors of France. Few colaborations between authors from different countries were found. Sandro Bimonte was the most cited author. France and India highlight in researches approaching Data Warehouse and Business Intelligence usage in agrarian sciences. The majority of references from Bibliographic Portfolio were from 2001-2010. 66% of papers use some open source technology. Star schema is the most used modelling technique and the use of Unified Modeling Language by authors of France in agricultural Data Warehouse modelling is encouraged. The main limitations were the impossibility of free access in some database... Mostrar Tudo |
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Thesagro: |
Agricultura; Programa de Computador. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/190336/1/Brum-et-al.pdf
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Marc: |
LEADER 02151naa a2200169 a 4500
001 2103747
005 2019-08-23
008 2019 bl uuuu u00u1 u #d
100 1 $aBRUM, L. M. da L.
245 $aBusiness intelligence and data warehouse in agrarian sector$ba bibliometric study.$h[electronic resource]
260 $c2019
520 $aBusiness Intelligence with Data Warehouse technologies are known in the literature as solutions that allow access to business data dynamically and analytical operations on them. Scientific literature lacks works that investigate the current use of these technologies in the agrarian sector, at the international level in the last 10 years. This work presents a bibliometric analysis, which was done through the ProKnow-C methodology, of the application of Business Intelligence and Data Warehouse technologies in the agrarian sector. The objective is to investigate the dissemination of such technologies in this sector in national and international scale. The main findings were the following: number of papers in last years are increasing. Majority of papers were found in the journal named Computers and Eletronics in Agriculture, with a great number of colaborations between authors of France. Few colaborations between authors from different countries were found. Sandro Bimonte was the most cited author. France and India highlight in researches approaching Data Warehouse and Business Intelligence usage in agrarian sciences. The majority of references from Bibliographic Portfolio were from 2001-2010. 66% of papers use some open source technology. Star schema is the most used modelling technique and the use of Unified Modeling Language by authors of France in agricultural Data Warehouse modelling is encouraged. The main limitations were the impossibility of free access in some databases, absence of research on proprietary solutions of technology market in the rural sector and few number of keyword searches.
650 $aAgricultura
650 $aPrograma de Computador
700 1 $aLAMPERT, V. do N.
700 1 $aCAMARGO, S. da S.
773 $tJournal of Agricultural Science$gv. 11, n. 2, 353-368, 2019.
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