{"id":1946,"date":"2015-07-08T19:28:11","date_gmt":"2015-07-08T19:28:10","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=1946"},"modified":"2019-04-01T03:37:10","modified_gmt":"2019-04-01T10:37:10","slug":"effective-data-management-driving-success-in-the-automotive-industry","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/pt\/effective-data-management-driving-success-in-the-automotive-industry\/","title":{"rendered":"Gerenciamento eficaz de dados - impulsionando o sucesso no setor automotivo"},"content":{"rendered":"

2015 foi oficialmente apelidado de \"o ano do dispositivo conectado\". A \"Internet das coisas\" foi substitu\u00edda pela \"Internet de tudo\", repleta de infinitas possibilidades. Atualmente, cerca de 20 bilh\u00f5es de dispositivos est\u00e3o conectados \u00e0 Internet - tudo, desde tablets a escovas de dentes, carros e cafeteiras. Os dispositivos conectados t\u00eam o potencial de transformar nossa economia (com o surgimento de pagamentos conectados entre dispositivos), sem mencionar nossa sociedade \u00e0 medida que a forma como nos comunicamos evolui.<\/p>\n

Um exemplo disso \u00e9 a evolu\u00e7\u00e3o do carro. Na d\u00e9cada de 1980, especialistas do setor previram carros voadores para o ano 2000. Embora ainda n\u00e3o tenhamos chegado l\u00e1, a maneira como nos comunicamos com nossos carros certamente evoluiu, pois as novas tecnologias tornaram nossos ve\u00edculos mais inteligentes. Hoje, a vis\u00e3o de dirigir em um carro que se comunica com o seu rel\u00f3gio, que est\u00e1 conectado ao seu smartphone, \u00e9 quase uma realidade. Pode-se dizer que o carro mudou de marcha, deixando para tr\u00e1s sua heran\u00e7a e se tornando apenas mais um dispositivo conectado. Como resultado, IBM<\/a> previu que o setor automotivo ser\u00e1 o segundo maior gerador de big data em 2015.<\/p>\n

Todo carro conectado tem uma rede sem fio que cont\u00e9m informa\u00e7\u00f5es sobre velocidade, acelera\u00e7\u00e3o, localiza\u00e7\u00e3o e at\u00e9 mesmo sobre os pr\u00f3prios motoristas. Esses dados s\u00e3o \u00fateis para todos, de seguradoras a anunciantes, que podem us\u00e1-los para obter acesso valioso a seus clientes. Mas, para poder lucrar com esse dil\u00favio de dados, o setor automotivo precisa agir rapidamente para garantir que sua infraestrutura esteja \u00e0 altura.<\/p>\n

O volume e a variedade de dados, provenientes de in\u00fameras fontes, apresentam desafios e oportunidades para os fabricantes de autom\u00f3veis em todo o mundo. O que isso significa para o setor? Os mec\u00e2nicos de autom\u00f3veis precisar\u00e3o estar equipados com as ferramentas para uma redefini\u00e7\u00e3o de f\u00e1brica? Como o fato de \"estar conectado\" afetar\u00e1 seu MOT anual? Os postos de gasolina precisar\u00e3o de infraestrutura para permitir que os motoristas baixem seus dados?<\/p>\n

A chave do sucesso ser\u00e1 a forma como o setor automotivo escolher\u00e1 gerenciar seus dados capturados. O modo como uma empresa lida com os dados afetar\u00e1 muito o seu uso. A sele\u00e7\u00e3o do banco de dados correto se tornar\u00e1 rapidamente um fator decisivo quando se trata de processar, acessar e avaliar informa\u00e7\u00f5es estruturadas e n\u00e3o estruturadas.<\/p>\n

\u00c9 nesse ponto que os bancos de dados n\u00e3o relacionais (NoSQL) entram na disputa. Em contraste com os bancos de dados relacionais (SQL), o NoSQL \u00e9 particularmente adequado para tarefas cuja estrutura definitiva n\u00e3o pode ser fixada, bem como para sistemas que mudam dinamicamente. Os bancos de dados NoSQL podem examinar perfis de usu\u00e1rios e consultar conjuntos de dados com lat\u00eancia inferior a um milissegundo para obter os dados necess\u00e1rios para tomar decis\u00f5es otimizadas, seja para publicidade, solicita\u00e7\u00f5es de seguro ou at\u00e9 mesmo para chamar um ve\u00edculo de volta \u00e0 oficina. Essencialmente, o NoSQL garante que os dados certos cheguem ao lugar certo sem atrasos ou problemas de processamento.<\/p>\n

Os bancos de dados reacionais existem desde a d\u00e9cada de 1970, portanto, naturalmente, n\u00e3o est\u00e3o alinhados com as demandas de big data, um fen\u00f4meno relativamente novo. Os bancos de dados tradicionais n\u00e3o podem simplesmente oferecer a flexibilidade para escalonar e dar suporte din\u00e2mico aos usu\u00e1rios com quantidades cada vez maiores de dados variados. Al\u00e9m disso, os bancos de dados relacionais s\u00e3o lentos para usar e ficam mais lentos com o tempo, \u00e0 medida que os dados aumentam. Isso \u00e9 particularmente importante para os fabricantes, pois os dados ficam maiores e exigem mais.<\/p>\n

A escolha do banco de dados correto permite que os fabricantes adotem a tecnologia sem a preocupa\u00e7\u00e3o de desviar o foco de suas \u00e1reas de especializa\u00e7\u00e3o: a fabrica\u00e7\u00e3o de carros. O setor automotivo est\u00e1 evoluindo rapidamente. Os fabricantes precisam dar suporte aos seus crescentes requisitos de dados com solu\u00e7\u00f5es de gerenciamento de dados flex\u00edveis e dimension\u00e1veis para aumentar e maximizar seus lucros com um investimento m\u00ednimo. Com o potencial de se adaptar \u00e0s mudan\u00e7as no mercado e expandir o tamanho sempre que necess\u00e1rio, o NoSQL resolve os problemas de gerenciamento de dados com pouco custo em termos de tempo e or\u00e7amento.<\/p>","protected":false},"excerpt":{"rendered":"

2015 has officially been dubbed \u201cthe year of the connected device\u201d. The \u201cinternet of things\u201d has been replaced by the \u201cinternet of everything\u201d filled with endless possibilities. 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