Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12394/10175
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dc.contributor.advisorAlvarez Montalván, Carlos Enriquees_ES
dc.contributor.authorMallqui Carhuamaca, Jhordan Jean Pieres_ES
dc.contributor.authorTello Olivas, Josue Jorimes_ES
dc.contributor.authorEsterripa Aguilar, Byrones_ES
dc.date.accessioned2021-10-26T15:08:33Z-
dc.date.available2021-10-26T15:08:33Z-
dc.date.issued2021-
dc.identifier.citationMallqui, 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.es_ES
dc.identifier.urihttps://hdl.handle.net/20.500.12394/10175-
dc.description.abstractBig 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.es_ES
dc.formatapplication/pdfes_ES
dc.format.extentp. 27-33es_ES
dc.language.isoenges_ES
dc.publisherUniversidad Continentales_ES
dc.relationhttps://dl.acm.org/doi/abs/10.1145/3456415.3456421es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/es_ES
dc.sourceUniversidad Continentales_ES
dc.sourceRepositorio Institucional - Continentales_ES
dc.subjectMinería de datoses_ES
dc.subjectAnálisis de sistemases_ES
dc.subjectTecnología de la informaciónes_ES
dc.titleBig Data analysis for drilling and blasting in a mine in the Central Andeses_ES
dc.typeinfo:eu-repo/semantics/bachelorThesises_ES
dc.rights.licenseAttribution 4.0 International (CC BY 4.0)es_ES
dc.rights.accessRightsAcceso abiertoes_ES
dc.publisher.countryPEes_ES
thesis.degree.nameIngeniero de Minases_ES
thesis.degree.grantorUniversidad Continental. Facultad de Ingeniería.es_ES
thesis.degree.disciplineIngeniería de Minases_ES
thesis.degree.programPregrado presencial regulares_ES
dc.identifier.journalACM International Conference Proceeding Serieses_ES
dc.identifier.doihttps://doi.org/10.1145/3456415.3456421es_ES
dc.subject.ocdehttp://purl.org/pe-repo/ocde/ford#2.00.00es_ES
renati.advisor.dni47525048-
renati.advisor.orcidhttps://orcid.org/0000-0001-9110-8006es_ES
renati.author.dni75216226-
renati.author.dni73238182-
renati.author.dni70026018-
renati.discipline724026es_ES
renati.levelhttps://purl.org/pe-repo/renati/level#tituloProfesionales_ES
renati.typehttps://purl.org/pe-repo/renati/type#tesises_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
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