{"id":88127,"date":"2022-03-23T11:44:46","date_gmt":"2022-03-23T11:44:46","guid":{"rendered":"https:\/\/generalhealthcare.in\/?p=88127"},"modified":"2023-12-25T22:46:47","modified_gmt":"2023-12-25T22:46:47","slug":"o-que-e-big-data-e-para-que-serve-exemplos-e-usos","status":"publish","type":"post","link":"https:\/\/generalhealthcare.in\/index.php\/2022\/03\/23\/o-que-e-big-data-e-para-que-serve-exemplos-e-usos\/","title":{"rendered":"O que \u00e9 big data e para que serve? Exemplos e usos pr\u00e1ticos"},"content":{"rendered":"<p>Al\u00e9m disso, o profissional precisa ter no\u00e7\u00e3o de matem\u00e1tica e estat\u00edstica aplicada a dados. <a href=\"https:\/\/www.portalonorte.com.br\/concursos-e-empregos\/por-que-investir-em-um-bootcamp-de-programacao-em-vez-de-cursos\/123213\/\">Por que investir em um bootcamp de programa\u00e7\u00e3o em vez de cursos tradicionais?<\/a> indica oportunidades n\u00e3o apenas para empresas, mas tamb\u00e9m para executivos. E isso precisa ocorrer no ritmo dos 7 V\u2019s, o que nem sempre est\u00e1 ao alcance de todas as organiza\u00e7\u00f5es. O marketplace de dados \u00e9 um mercado dos mais promissores, e deve crescer a uma taxa de 23,4% entre  2022 e 2030 (conte\u00fado em ingl\u00eas). A parte final da an\u00e1lise em Big Data \u00e9 onde  a \u201cm\u00e1gica\u201d acontece e o gestor\/analista extrai os insights de neg\u00f3cio que v\u00e3o fazer a diferen\u00e7a.<\/p>\n<p>Vale ressaltar que as informa\u00e7\u00f5es coletadas durante esse processo possibilitam a cria\u00e7\u00e3o de an\u00e1lises mais aprofundadas, as quais podem ser utilizadas posteriormente. Trata-se da estrat\u00e9gia utilizada, dos softwares que v\u00e3o processar os dados e das informa\u00e7\u00f5es que ser\u00e3o geradas. O Business Intelligence, por outro lado, cuida do processamento desses dados. \u00c9 feito um trabalho anal\u00edtico e inteligente de um volume de dados, estejam eles estruturados ou n\u00e3o.<\/p>\n<h2>Valor do curso para empresa parceira<\/h2>\n<p>Com a an\u00e1lise de dados sobre dores, necessidades e prefer\u00eancias dos consumidores, \u00e9 poss\u00edvel criar solu\u00e7\u00f5es sob medida para as demandas do p\u00fablico-alvo. O Big Data tamb\u00e9m pode ser usado para melhorar processos internos e aumentar a efici\u00eancia operacional da empresa. Isso \u00e9 poss\u00edvel por meio de an\u00e1lises de custos, prazos, recursos utilizados e outras vari\u00e1veis de desempenho que podem ser melhoradas, sempre com o objetivo de fazer mais com menos. O Big Data permite que o comportamento do consumidor seja compreendido em um n\u00edvel in\u00e9dito pelas empresas. Pense na quantidade de dados produzidos sobre nossos h\u00e1bitos de consumo, prefer\u00eancias e necessidades, que s\u00e3o coletados e processados pelas organiza\u00e7\u00f5es todos os dias.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"303px\" alt=\"Big Data\"\/><\/p>\n<p>Outra tecnologia associada ao Big Data \u00e9 o Business Intelligence, que consiste na an\u00e1lise de dados e cria\u00e7\u00e3o de dashboards (pain\u00e9is visuais) que permitem tomar decis\u00f5es mais certeiras nas empresas. A velocidade \u00e9 um requisito essencial do Big Data, pois \u00e9 preciso que os grandes volumes de dados sejam processados rapidamente. Afinal, a informa\u00e7\u00e3o se renova a cada instante e as ferramentas de an\u00e1lise precisam acompanhar o ritmo veloz da era digital. Outro ponto importante \u00e9 que boa parte dessa informa\u00e7\u00e3o \u00e9 classificada como n\u00e3o estruturada, ou seja, n\u00e3o est\u00e1 organizada de modo a ser facilmente interpretada por sistemas de an\u00e1lise. \u00c9 o caso de metadados de blogs, imagens, v\u00eddeos e publica\u00e7\u00f5es em redes sociais, que se multiplicam a todo momento. O termo pode ser traduzido como \u201cmacrodados\u201d, indicando a dimens\u00e3o dos arquivos envolvidos.<\/p>\n<h2>Qual o volume de dados gerado todo dia?<\/h2>\n<p>Por volta de 2005, as pessoas come\u00e7aram a perceber a quantidade de usu\u00e1rios de dados gerados pelo Facebook, YouTube e outros servi\u00e7os online. O Hadoop (uma estrutura de c\u00f3digo aberto criada especificamente para armazenar e analisar grandes conjuntos de dados) foi desenvolvido no mesmo ano. Encontrar valor em <a href=\"https:\/\/www.portalonorte.com.br\/concursos-e-empregos\/por-que-investir-em-um-bootcamp-de-programacao-em-vez-de-cursos\/123213\/\">https:\/\/www.portalonorte.com.br\/concursos-e-empregos\/por-que-investir-em-um-bootcamp-de-programacao-em-vez-de-cursos\/123213\/<\/a> n\u00e3o \u00e9 s\u00f3 uma quest\u00e3o de analis\u00e1-lo (o que \u00e9 um outro benef\u00edcio). \u00c9 um processo de descoberta completo que exige analistas perspicazes, usu\u00e1rios de neg\u00f3cios e executivos que fazem as perguntas certas, reconhecem padr\u00f5es, fazem suposi\u00e7\u00f5es bem-informadas e preveem comportamentos. Uma grande parte do valor que eles oferecem vem de dados, que eles analisam constantemente para produzir mais efici\u00eancia e desenvolver novos produtos. A defini\u00e7\u00e3o de big data s\u00e3o dados que cont\u00eam maior variedade, chegando em volumes crescentes e com mais velocidade.<\/p>\n<ul>\n<li>Com um volume t\u00e3o grande de dados, \u00e9 muito prov\u00e1vel que voc\u00ea perca o controle de tudo na hora que realmente precisar.<\/li>\n<li>Se estivermos lidando com uma solu\u00e7\u00e3o voltada para clientes de um produto para o mercado financeiro, talvez seja coerente analisar o hist\u00f3rico das taxas de juros das \u00faltimas d\u00e9cadas.<\/li>\n<li>Seu impacto \u00e9 amplo, vai do atendimento ao p\u00f3s-venda e pode servir para uma revolu\u00e7\u00e3o de processos dentro da empresa.<\/li>\n<li>Algoritmos de aprendizado de m\u00e1quina podem ajudar a prever tend\u00eancias futuras e fornecer insights valiosos para a tomada de decis\u00f5es.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Al\u00e9m disso, o profissional precisa ter no\u00e7\u00e3o de matem\u00e1tica e estat\u00edstica aplicada a dados. Por que investir em um bootcamp de programa\u00e7\u00e3o em vez de cursos tradicionais? indica oportunidades n\u00e3o apenas para empresas, mas tamb\u00e9m para executivos. E isso precisa ocorrer no ritmo dos 7 V\u2019s, o que nem sempre est\u00e1 ao alcance de todas&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[268],"tags":[],"class_list":["post-88127","post","type-post","status-publish","format-standard","hentry","category-bootcamp-de-programacao-6","category-268","description-off"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/generalhealthcare.in\/index.php\/wp-json\/wp\/v2\/posts\/88127","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/generalhealthcare.in\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/generalhealthcare.in\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/generalhealthcare.in\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/generalhealthcare.in\/index.php\/wp-json\/wp\/v2\/comments?post=88127"}],"version-history":[{"count":1,"href":"https:\/\/generalhealthcare.in\/index.php\/wp-json\/wp\/v2\/posts\/88127\/revisions"}],"predecessor-version":[{"id":88128,"href":"https:\/\/generalhealthcare.in\/index.php\/wp-json\/wp\/v2\/posts\/88127\/revisions\/88128"}],"wp:attachment":[{"href":"https:\/\/generalhealthcare.in\/index.php\/wp-json\/wp\/v2\/media?parent=88127"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/generalhealthcare.in\/index.php\/wp-json\/wp\/v2\/categories?post=88127"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/generalhealthcare.in\/index.php\/wp-json\/wp\/v2\/tags?post=88127"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}