| dc.contributor | Alvarez Montalván, Carlos Enrique | |
| dc.creator | Mallqui Carhuamaca, Jhordan Jean Pier | |
| dc.creator | Tello Olivas, Josue Jorim | |
| dc.creator | Esterripa Aguilar, Byron | |
| dc.date.accessioned | 2021-10-26T15:08:33Z | |
| dc.date.available | 2021-10-26T15:08:33Z | |
| dc.date.created | 2021-10-26T15:08:33Z | |
| dc.date.issued | 2021 | |
| dc.identifier | 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 | https://hdl.handle.net/20.500.12394/10175 | |
| dc.identifier | ACM International Conference Proceeding Series | |
| dc.identifier | https://doi.org/10.1145/3456415.3456421 | |
| dc.description.abstract | 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. | |
| dc.language | eng | |
| dc.publisher | Universidad Continental | |
| dc.publisher | PE | |
| dc.relation | https://dl.acm.org/doi/abs/10.1145/3456415.3456421 | |
| dc.rights | https://creativecommons.org/licenses/by/4.0/ | |
| dc.rights | Attribution 4.0 International (CC BY 4.0) | |
| dc.rights | Acceso abierto | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.source | Universidad Continental | |
| dc.source | Repositorio Institucional - Continental | |
| dc.subject | Minería de datos | |
| dc.subject | Análisis de sistemas | |
| dc.subject | Tecnología de la información | |
| dc.title | Big Data analysis for drilling and blasting in a mine in the Central Andes | |
| dc.type | info:eu-repo/semantics/bachelorThesis | |
