Estudio de la herramienta map reduce y su utilización en la big data
There is a paradigm that goes hand in hand with what is known as programming and parallel computing, which establishes a response inspired by the organization of data in enormous volumes. In this context, a framework that allows the processing of large amounts of data through parallel computing in d...
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| Үндсэн зохиолч: | |
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| Формат: | bachelorThesis |
| Хэвлэсэн: |
2023
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| Нөхцлүүд: | |
| Онлайн хандалт: | http://dspace.utb.edu.ec/handle/49000/15039 |
| Шошгууд: |
Шошго нэмэх
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Шошго нэмэх | _version_ | 1859044645280940032 |
|---|---|
| author | Ramírez Palma, Aarón David |
| author_facet | Ramírez Palma, Aarón David |
| author_role | author |
| collection | Repositorio Universidad Técnica de Babahoyo |
| dc.contributor.none.fl_str_mv | Soto Valle, Carlos |
| dc.creator.none.fl_str_mv | Ramírez Palma, Aarón David |
| dc.date.none.fl_str_mv | 2023-11-07T14:32:34Z 2023-11-07T14:32:34Z 2023 |
| dc.format.none.fl_str_mv | 47 p. application/pdf |
| dc.identifier.none.fl_str_mv | http://dspace.utb.edu.ec/handle/49000/15039 |
| dc.language.none.fl_str_mv | es |
| dc.publisher.none.fl_str_mv | Babahoyo: UTB-FAFI. 2023 |
| dc.rights.none.fl_str_mv | Atribución-NoComercial-SinDerivadas 3.0 Ecuador http://creativecommons.org/licenses/by-nc-nd/3.0/ec/ info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:Repositorio Universidad Técnica de Babahoyo instname:Universidad Técnica de Babahoyo instacron:UTB |
| dc.subject.none.fl_str_mv | Big Data Map Reduce Procesamiento distribuido Volumen de datos Paralelismo |
| dc.title.none.fl_str_mv | Estudio de la herramienta map reduce y su utilización en la big data |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/bachelorThesis |
| description | There is a paradigm that goes hand in hand with what is known as programming and parallel computing, which establishes a response inspired by the organization of data in enormous volumes. In this context, a framework that allows the processing of large amounts of data through parallel computing in distributed environments is incorporated into this research. As a result of what was expressed above, this research is focused on exploring how the Map Reduce tool is used in the management of Big Data and thereby providing significant information to undergraduate students in the use of this tool for the processing of large sets. . of data. This research is developed using the bibliographic method, framed in obtaining information from different sources that allow the purpose of the research to be fulfilled. It is also important to mention that the study focuses on the operation of the Map Reduce tool, with a point of More pragmatic view |
| eu_rights_str_mv | openAccess |
| format | bachelorThesis |
| id | UTB_e666ef7abe1d15218bae5d4348ecea86 |
| instacron_str | UTB |
| institution | UTB |
| instname_str | Universidad Técnica de Babahoyo |
| language_invalid_str_mv | es |
| network_acronym_str | UTB |
| network_name_str | Repositorio Universidad Técnica de Babahoyo |
| oai_identifier_str | oai:dspace.utb.edu.ec:49000/15039 |
| publishDate | 2023 |
| publisher.none.fl_str_mv | Babahoyo: UTB-FAFI. 2023 |
| reponame_str | Repositorio Universidad Técnica de Babahoyo |
| repository.mail.fl_str_mv | . |
| repository.name.fl_str_mv | Repositorio Universidad Técnica de Babahoyo - Universidad Técnica de Babahoyo |
| repository_id_str | 0 |
| rights_invalid_str_mv | Atribución-NoComercial-SinDerivadas 3.0 Ecuador http://creativecommons.org/licenses/by-nc-nd/3.0/ec/ |
| spelling | Estudio de la herramienta map reduce y su utilización en la big dataRamírez Palma, Aarón DavidBig DataMap ReduceProcesamiento distribuidoVolumen de datosParalelismoThere is a paradigm that goes hand in hand with what is known as programming and parallel computing, which establishes a response inspired by the organization of data in enormous volumes. In this context, a framework that allows the processing of large amounts of data through parallel computing in distributed environments is incorporated into this research. As a result of what was expressed above, this research is focused on exploring how the Map Reduce tool is used in the management of Big Data and thereby providing significant information to undergraduate students in the use of this tool for the processing of large sets. . of data. This research is developed using the bibliographic method, framed in obtaining information from different sources that allow the purpose of the research to be fulfilled. It is also important to mention that the study focuses on the operation of the Map Reduce tool, with a point of More pragmatic viewThere is a paradigm that goes hand in hand with what is known as programming and parallel computing, which establishes a response inspired by the organization of data in enormous volumes. In this context, a framework that allows the processing of large amounts of data through parallel computing in distributed environments is incorporated into this research. As a result of what was expressed above, this research is focused on exploring how the Map Reduce tool is used in the management of Big Data and thereby providing significant information to undergraduate students in the use of this tool for the processing of large sets. . of data. This research is developed using the bibliographic method, framed in obtaining information from different sources that allow the purpose of the research to be fulfilled. It is also important to mention that the study focuses on the operation of the Map Reduce tool, with a point of More pragmatic viewExiste un paradigma que va de la mano con lo que se conoce como programación y computación paralela, la misma que establece una inspirada respuesta en la organización de datos en volúmenes enormes. En este contexto se incorpora en esta investigación un ramework que permita el procesamiento de grandes cantidades de datos a través de computación paralela en ambientes distribuidos. En consecuencia, a lo expresado anteriormente, la presente investigación está enfocada en explorar como se utiliza la herramienta Map Reduce en la administración de Big Data y con ello aportar información significativa a los estudiantes de pregrado en la utilización de esta herramienta para el procesamiento de grandes conjuntos de datos. Esta investigación se desarrolla utilizando el método descriptivo, enmarcado en la obtención de información de distintas fuentes que permitan cumplir con el propósito de la investigación, además es importante mencionar que el estudio se centra en el funcionamiento de la herramienta Map Reduce, con un punto de vista más pragmático.Babahoyo: UTB-FAFI. 2023Soto Valle, Carlos2023-11-07T14:32:34Z2023-11-07T14:32:34Z2023info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bachelorThesis47 p.application/pdfhttp://dspace.utb.edu.ec/handle/49000/15039esAtribución-NoComercial-SinDerivadas 3.0 Ecuadorhttp://creativecommons.org/licenses/by-nc-nd/3.0/ec/info:eu-repo/semantics/openAccessreponame:Repositorio Universidad Técnica de Babahoyoinstname:Universidad Técnica de Babahoyoinstacron:UTB2023-11-08T08:01:39Zoai:dspace.utb.edu.ec:49000/15039Institucionalhttp://dspace.utb.edu.ec/Universidad públicahttps://utb.edu.ec/http://dspace.utb.edu.ec/oai.Ecuador...opendoar:02026-03-07T22:25:13.617257Repositorio Universidad Técnica de Babahoyo - Universidad Técnica de Babahoyotrue |
| spellingShingle | Estudio de la herramienta map reduce y su utilización en la big data Ramírez Palma, Aarón David Big Data Map Reduce Procesamiento distribuido Volumen de datos Paralelismo |
| status_str | publishedVersion |
| title | Estudio de la herramienta map reduce y su utilización en la big data |
| title_full | Estudio de la herramienta map reduce y su utilización en la big data |
| title_fullStr | Estudio de la herramienta map reduce y su utilización en la big data |
| title_full_unstemmed | Estudio de la herramienta map reduce y su utilización en la big data |
| title_short | Estudio de la herramienta map reduce y su utilización en la big data |
| title_sort | Estudio de la herramienta map reduce y su utilización en la big data |
| topic | Big Data Map Reduce Procesamiento distribuido Volumen de datos Paralelismo |
| url | http://dspace.utb.edu.ec/handle/49000/15039 |