Big Data analysis for drilling and blasting in a mine in the Central Andes

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Big Data applied to mining, contemplates the combi- nation of algorithms located in advanced technological tools to process a quantity of data, Power BI allows the interaction of dif- ferent data formats, for integration it has the support of Python Script. In this article, Big Data was applied to e...

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Detalles Bibliográficos
Autores: Mallqui Carhuamaca, Jhordan Jean Pier, Tello Olivas, Josue Jorim, Esterripa Aguilar, Byron
Formato: tesis de grado
Fecha de Publicación:2021
Institución:Universidad Continental
Repositorio:CONTINENTAL-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.continental.edu.pe:20.500.12394/10175
Enlace del recurso:https://hdl.handle.net/20.500.12394/10175
https://doi.org/10.1145/3456415.3456421
Nivel de acceso:acceso abierto
Materia:Minería de datos
Análisis de sistemas
Tecnología de la información
http://purl.org/pe-repo/ocde/ford#2.00.00
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dc.title.es_ES.fl_str_mv Big Data analysis for drilling and blasting in a mine in the Central Andes
title Big Data analysis for drilling and blasting in a mine in the Central Andes
spellingShingle Big Data analysis for drilling and blasting in a mine in the Central Andes
Mallqui Carhuamaca, Jhordan Jean Pier
Minería de datos
Análisis de sistemas
Tecnología de la información
http://purl.org/pe-repo/ocde/ford#2.00.00
title_short Big Data analysis for drilling and blasting in a mine in the Central Andes
title_full Big Data analysis for drilling and blasting in a mine in the Central Andes
title_fullStr Big Data analysis for drilling and blasting in a mine in the Central Andes
title_full_unstemmed Big Data analysis for drilling and blasting in a mine in the Central Andes
title_sort Big Data analysis for drilling and blasting in a mine in the Central Andes
author Mallqui Carhuamaca, Jhordan Jean Pier
author_facet Mallqui Carhuamaca, Jhordan Jean Pier
Tello Olivas, Josue Jorim
Esterripa Aguilar, Byron
author_role author
author2 Tello Olivas, Josue Jorim
Esterripa Aguilar, Byron
author2_role author
author
dc.contributor.advisor.fl_str_mv Alvarez Montalván, Carlos Enrique
dc.contributor.author.fl_str_mv Mallqui Carhuamaca, Jhordan Jean Pier
Tello Olivas, Josue Jorim
Esterripa Aguilar, Byron
dc.subject.es_ES.fl_str_mv Minería de datos
Análisis de sistemas
Tecnología de la información
topic Minería de datos
Análisis de sistemas
Tecnología de la información
http://purl.org/pe-repo/ocde/ford#2.00.00
dc.subject.ocde.es_ES.fl_str_mv http://purl.org/pe-repo/ocde/ford#2.00.00
description Big Data applied to mining, contemplates the combi- nation of algorithms located in advanced technological tools to process a quantity of data, Power BI allows the interaction of dif- ferent data formats, for integration it has the support of Python Script. In this article, Big Data was applied to essential activities such as drilling and blasting, analyzing the parameters, standards, quantities, advances, the objective was to develop an integration system of a quantity of data for its analysis and interpretation, it will contribute to decision making in the mining operation. The development of Dashboard for interactive reportability based on indicators, will allow to visualize more efficiently and in a virtual way among the interested parties. Finally, the application of Big Data in the field of mining mainly in the treatment of its data will be the trend of the future which will allow to optimize the time and the functionality of the reports.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-10-26T15:08:33Z
dc.date.available.none.fl_str_mv 2021-10-26T15:08:33Z
dc.date.issued.fl_str_mv 2021
dc.type.es_ES.fl_str_mv info:eu-repo/semantics/bachelorThesis
dc.type.version.es_ES.fl_str_mv info:eu-repo/semantics/publishedVersion
format bachelorThesis
status_str publishedVersion
dc.identifier.citation.es_ES.fl_str_mv Mallqui, J., Tello, J. y Esterripa, B. (2021). Big Data analysis for drilling and blasting in a mine in the Central Andes. Tesis para optar el título profesional de Ingeniero de Minas, Escuela Académico Profesional de Ingeniería de Minas, Universidad Continental, Huancayo, Perú.
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12394/10175
dc.identifier.journal.es_ES.fl_str_mv ACM International Conference Proceeding Series
dc.identifier.doi.es_ES.fl_str_mv https://doi.org/10.1145/3456415.3456421
identifier_str_mv Mallqui, J., Tello, J. y Esterripa, B. (2021). Big Data analysis for drilling and blasting in a mine in the Central Andes. Tesis para optar el título profesional de Ingeniero de Minas, Escuela Académico Profesional de Ingeniería de Minas, Universidad Continental, Huancayo, Perú.
ACM International Conference Proceeding Series
url https://hdl.handle.net/20.500.12394/10175
https://doi.org/10.1145/3456415.3456421
dc.language.iso.es_ES.fl_str_mv eng
language eng
dc.relation.es_ES.fl_str_mv https://dl.acm.org/doi/abs/10.1145/3456415.3456421
dc.relation.ispartof.fl_str_mv SUNEDU
dc.rights.es_ES.fl_str_mv info:eu-repo/semantics/openAccess
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dc.rights.license.es_ES.fl_str_mv Attribution 4.0 International (CC BY 4.0)
dc.rights.accessRights.es_ES.fl_str_mv Acceso abierto
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0/
Attribution 4.0 International (CC BY 4.0)
Acceso abierto
dc.format.es_ES.fl_str_mv application/pdf
dc.format.extent.es_ES.fl_str_mv p. 27-33
dc.publisher.es_ES.fl_str_mv Universidad Continental
dc.publisher.country.es_ES.fl_str_mv PE
dc.source.es_ES.fl_str_mv Universidad Continental
Repositorio Institucional - Continental
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spelling Alvarez Montalván, Carlos EnriqueMallqui Carhuamaca, Jhordan Jean PierTello Olivas, Josue JorimEsterripa Aguilar, Byron2021-10-26T15:08:33Z2021-10-26T15:08:33Z2021Mallqui, J., Tello, J. y Esterripa, B. (2021). Big Data analysis for drilling and blasting in a mine in the Central Andes. Tesis para optar el título profesional de Ingeniero de Minas, Escuela Académico Profesional de Ingeniería de Minas, Universidad Continental, Huancayo, Perú.https://hdl.handle.net/20.500.12394/10175ACM International Conference Proceeding Serieshttps://doi.org/10.1145/3456415.3456421Big Data applied to mining, contemplates the combi- nation of algorithms located in advanced technological tools to process a quantity of data, Power BI allows the interaction of dif- ferent data formats, for integration it has the support of Python Script. In this article, Big Data was applied to essential activities such as drilling and blasting, analyzing the parameters, standards, quantities, advances, the objective was to develop an integration system of a quantity of data for its analysis and interpretation, it will contribute to decision making in the mining operation. The development of Dashboard for interactive reportability based on indicators, will allow to visualize more efficiently and in a virtual way among the interested parties. 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Big Data analysis for drilling and blasting in a mine in the Central Andes
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