Data Science: Focus on Processing Challenge

Detalhes bibliográficos
Autor(a) principal: Pacheco, Bornieque Brister Marcovit
Data de Publicação: 2019
Outros Autores: Disconzi, Marcelo Salton
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/1444
Resumo: Data science is constantly evolving, but many problems are sometimes impossible to solve, either because of the large amount of data collected or associated with different types of data, by stating that there are several problems that can not be solved by processing issues , and to observe that the flood of data only increases every day, the following question remains: What path can data science follow in order to manage the issue of the processing limit given in increasingly exorbitant quantities? This article aims to suggest a possible future solution to the problem through descriptive research, through documentary analysis. Following the following steps: Basic theoretical background on Data Science, NoSQL Database, Big Data, Machine Learning and the Quantum Computer, aiming at pointing out future steps or possible problems.
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spelling Data Science: Focus on Processing ChallengeCiencia de datos: enfoque en el desafío de procesamientoCiência de Dados: Enfoque no Desafio do Processamentolímite de procesamientoOrdenador cuánticoIA.Limite de processamentoComputador quânticoIA.Processing limitQuantum computerAI.Data science is constantly evolving, but many problems are sometimes impossible to solve, either because of the large amount of data collected or associated with different types of data, by stating that there are several problems that can not be solved by processing issues , and to observe that the flood of data only increases every day, the following question remains: What path can data science follow in order to manage the issue of the processing limit given in increasingly exorbitant quantities? This article aims to suggest a possible future solution to the problem through descriptive research, through documentary analysis. Following the following steps: Basic theoretical background on Data Science, NoSQL Database, Big Data, Machine Learning and the Quantum Computer, aiming at pointing out future steps or possible problems.La ciencia de datos está en constante evolución, pero a veces es imposible resolver muchos problemas, ya sea por la gran cantidad de datos recopilados o asociados con diferentes tipos de datos, al afirmar que existen varios problemas que no pueden resolverse por razones de procesamiento. Y, teniendo en cuenta que la avalancha de datos solo crece día a día, es la siguiente pregunta: ¿Qué camino puede tomar la ciencia de los datos para evitar el límite del procesamiento de datos en cantidades cada vez mayores? Este artículo pretende sugerir una posible solución futura al problema a través de una investigación descriptiva a través del análisis de documentos. Siguiendo los siguientes pasos: Antecedentes teóricos básicos sobre Data Science, NoSQL Database, Big Data, Machine Learning y Quantum Computer, con el objetivo de señalar pasos futuros o posibles problemas.A ciência de dados está em constante evolução, porém muitos problemas são por vezes impossíveis de solucionar, seja somente devido a grande quantidade de dados coletados ou associado aos diferentes tipos de dados, ao afirmar que existem vários problemas impossíveis de se solucionar por questões de processamento, e observar que o dilúvio de dados só aumenta a cada dia, fica o seguinte questionamento: Qual o caminho a ciência de dados pode seguir para conseguir driblar a questão do limite de processamento dados em quantidades cada vez mais exorbitantes? Este artigo tem por objetivo sugerir uma possível solução futura para o problema através de uma pesquisa descritiva, por meio de análise documental. Seguindo os seguintes passos: Embasamento teórico básico sobre a Ciência de Dados, Banco de dados NoSQL, Big Data, Machine Learning e o Computador Quântico, tendo por finalidade apontar passos futuros ou possíveis problemas.Research, Society and Development2019-08-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/144410.33448/rsd-v8i11.1444Research, Society and Development; Vol. 8 No. 11; e128111444Research, Society and Development; Vol. 8 Núm. 11; e128111444Research, Society and Development; v. 8 n. 11; e1281114442525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/1444/1142Copyright (c) 2019 Bornieque Brister Marcovit Pachecoinfo:eu-repo/semantics/openAccessPacheco, Bornieque Brister MarcovitDisconzi, Marcelo Salton2020-03-25T16:06:49Zoai:ojs.pkp.sfu.ca:article/1444Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:26:28.615190Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Data Science: Focus on Processing Challenge
Ciencia de datos: enfoque en el desafío de procesamiento
Ciência de Dados: Enfoque no Desafio do Processamento
title Data Science: Focus on Processing Challenge
spellingShingle Data Science: Focus on Processing Challenge
Pacheco, Bornieque Brister Marcovit
límite de procesamiento
Ordenador cuántico
IA.
Limite de processamento
Computador quântico
IA.
Processing limit
Quantum computer
AI.
title_short Data Science: Focus on Processing Challenge
title_full Data Science: Focus on Processing Challenge
title_fullStr Data Science: Focus on Processing Challenge
title_full_unstemmed Data Science: Focus on Processing Challenge
title_sort Data Science: Focus on Processing Challenge
author Pacheco, Bornieque Brister Marcovit
author_facet Pacheco, Bornieque Brister Marcovit
Disconzi, Marcelo Salton
author_role author
author2 Disconzi, Marcelo Salton
author2_role author
dc.contributor.author.fl_str_mv Pacheco, Bornieque Brister Marcovit
Disconzi, Marcelo Salton
dc.subject.por.fl_str_mv límite de procesamiento
Ordenador cuántico
IA.
Limite de processamento
Computador quântico
IA.
Processing limit
Quantum computer
AI.
topic límite de procesamiento
Ordenador cuántico
IA.
Limite de processamento
Computador quântico
IA.
Processing limit
Quantum computer
AI.
description Data science is constantly evolving, but many problems are sometimes impossible to solve, either because of the large amount of data collected or associated with different types of data, by stating that there are several problems that can not be solved by processing issues , and to observe that the flood of data only increases every day, the following question remains: What path can data science follow in order to manage the issue of the processing limit given in increasingly exorbitant quantities? This article aims to suggest a possible future solution to the problem through descriptive research, through documentary analysis. Following the following steps: Basic theoretical background on Data Science, NoSQL Database, Big Data, Machine Learning and the Quantum Computer, aiming at pointing out future steps or possible problems.
publishDate 2019
dc.date.none.fl_str_mv 2019-08-24
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/1444
10.33448/rsd-v8i11.1444
url https://rsdjournal.org/index.php/rsd/article/view/1444
identifier_str_mv 10.33448/rsd-v8i11.1444
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/1444/1142
dc.rights.driver.fl_str_mv Copyright (c) 2019 Bornieque Brister Marcovit Pacheco
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 Bornieque Brister Marcovit Pacheco
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 8 No. 11; e128111444
Research, Society and Development; Vol. 8 Núm. 11; e128111444
Research, Society and Development; v. 8 n. 11; e128111444
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
_version_ 1797052644085202944

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