{"id":8674,"date":"2021-07-20T11:08:00","date_gmt":"2021-07-20T14:08:00","guid":{"rendered":"https:\/\/darkorchid-wallaby-287256.hostingersite.com\/?p=8674"},"modified":"2022-08-04T14:44:56","modified_gmt":"2022-08-04T17:44:56","slug":"data-lake-vs-data-warehouse","status":"publish","type":"post","link":"https:\/\/dataex.com.br\/en\/data-lake-vs-data-warehouse\/","title":{"rendered":"Data Lake vs. Data Warehouse: qual a diferen\u00e7a entre esses conceitos?"},"content":{"rendered":"<span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">Reading time:<\/span> <span class=\"rt-time\"> 7<\/span> <span class=\"rt-label rt-postfix\">minutes<\/span><\/span>\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"310\" src=\"http:\/\/dataex.com.br\/wp-content\/uploads\/2021\/07\/Data-Lake-vs.-Data-Warehouse-1-1024x310.jpg\" alt=\"M\u00e3os segurando tablet enquanto homem compara data lake vs. data warehouse\" class=\"wp-image-8679\" srcset=\"http:\/\/dataex.com.br\/wp-content\/uploads\/2021\/07\/Data-Lake-vs.-Data-Warehouse-1-980x297.jpg 980w, http:\/\/dataex.com.br\/wp-content\/uploads\/2021\/07\/Data-Lake-vs.-Data-Warehouse-1-480x145.jpg 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1024px, 100vw\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Voc\u00ea sabia que existem mais informa\u00e7\u00f5es digitais nos computadores do mundo e em nuvem do que \u00e9 poss\u00edvel calcular? Hoje, praticamente<strong> todas as \u00e1reas da vida se relacionam a dados<\/strong> e no universo empresarial n\u00e3o \u00e9 diferente.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Todos os dias surgem milh\u00f5es de informa\u00e7\u00f5es, com in\u00fameros processos f\u00e1ceis de confundir: <em>Big Data<\/em>, <em><a href=\"https:\/\/darkorchid-wallaby-287256.hostingersite.com\/cultura-data-driven\/\" target=\"_blank\" rel=\"noreferrer noopener\">Data Driven<\/a><\/em>, <em>Business Intelligence<\/em>, <em>IA<\/em>, <em>Data Lake<\/em> e <em>Data Warehouse <\/em>s\u00e3o alguns exemplos.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Empresas pequenas, m\u00e9dias ou grandes vivem \u00e9pocas de revolu\u00e7\u00e3o de dados \u2014 um movimento virtual impactante que exige cuidados no trato com as informa\u00e7\u00f5es digitais.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p>Coletar, organizar, interpretar, criar <em>insights<\/em> e embasar decis\u00f5es. <strong>Com as ferramentas tecnol\u00f3gicas corretas, um empreendimento identifica excelentes oportunidades de melhorar os neg\u00f3cios<\/strong>.<\/p><\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">Mas, como extrair dos dados os melhores<em> insights<\/em>? Tudo come\u00e7a com o armazenamento das informa\u00e7\u00f5es e h\u00e1 duas formas profissionais para fazer isso: <em>Data Lake<\/em> or <em>Data Warehouse<\/em>. Continue a leitura e entenda suas diferen\u00e7as!<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Tipo de dados armazenados<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A principal diferen\u00e7a entre <em>Data Lake<\/em> e <em>Data Warehouse<\/em> est\u00e1 na estrutura vari\u00e1vel de dados: <strong>brutos ou processados<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O <em>Data Lake <\/em>funciona como base de dados para receber todas as informa\u00e7\u00f5es digitais da empresa, sejam elas enviadas pelo neg\u00f3cio ou recebidas de terceiros \u2014 clientes, fornecedores, entre outros.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Dados no <\/strong><strong><em>Data Lake<\/em><\/strong><strong> est\u00e3o em estado bruto<\/strong>: sem verifica\u00e7\u00f5es, processamentos, governan\u00e7as ou an\u00e1lises. S\u00e3o conte\u00fados n\u00e3o processados \u200b\u200bpara uma finalidade.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Por sua vez, o <strong><em>Data Warehouse<\/em><\/strong><strong> abriga apenas dados processados<\/strong>, higienizados e verificados. Al\u00e9m disso, n\u00e3o apresentam potenciais ru\u00eddos e s\u00e3o coletados com um objetivo. Assim, as informa\u00e7\u00f5es empresariais mais importantes integram essa base.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Rela\u00e7\u00e3o entre acoplamento e processamento<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Os dados gerados para e pela empresa est\u00e3o completos no<em> Data Lake<\/em>. N\u00e3o h\u00e1 um processamento de averigua\u00e7\u00e3o para quantificar ou qualificar as informa\u00e7\u00f5es no <em>data base<\/em>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Por inexistir um planejamento t\u00e9cnico para reten\u00e7\u00e3o de dados, <strong>o armazenamento das informa\u00e7\u00f5es \u00e9 \u00e1gil<\/strong>, na medida em que h\u00e1 menos rapidez ao cientista de dados analisar e captar <em>insights <\/em>pelo massivo volume informativo desorganizado.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">J\u00e1 no <strong><em>Data Warehouse<\/em><\/strong><strong> as informa\u00e7\u00f5es s\u00e3o processadas<\/strong> (verificadas, analisadas e categorizadas) de um modo organizado, em modelos preexistentes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Assim, ela facilita as consultas r\u00e1pidas, o que explica a raz\u00e3o de essa base de dados ser uma refer\u00eancia para pr\u00e1ticas<em> <\/em><a href=\"https:\/\/darkorchid-wallaby-287256.hostingersite.com\/business-intelligence\/\" target=\"_blank\" rel=\"noreferrer noopener\"><em>Business Intelligence <\/em>(<em>BI<\/em>)<\/a>. Embora exija certo tempo para o tratamento dos dados na base, o <em>Data Warehouse<\/em> tem:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>arquitetura que otimiza<em> insights<\/em>;<\/li><li>estruturas para an\u00e1lises e relat\u00f3rios que ajudam a potencializar delibera\u00e7\u00f5es para tomar a\u00e7\u00f5es mais acertadas;<\/li><li>flexibilidade no acoplamento de diferentes tipos de fontes de dados em uma vis\u00e3o \u00fanica.<\/li><\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Prop\u00f3sito de uso<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Tanto <em>Data Warehouse<\/em> como <em>Data Lake<\/em> <strong>servem para armazenar<em> <\/em><\/strong><a href=\"https:\/\/darkorchid-wallaby-287256.hostingersite.com\/big-data\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong><em>Big Data<\/em><\/strong><\/a>.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p>A ideia n\u00e3o \u00e9 intercambi\u00e1vel, pois h\u00e1 diferentes especifica\u00e7\u00f5es. Lembre-se, <em>Data Lake<\/em> tem dados brutos armazenados sem um fim, <em>Data Warehouse<\/em> tem dados estruturados para finalidades preexistentes.<\/p><\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Utiliza\u00e7\u00e3o do <em>Data Lake<\/em><\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Em termos de <a href=\"https:\/\/darkorchid-wallaby-287256.hostingersite.com\/data-lake-vs-data-warehouse\/\" target=\"_blank\" rel=\"noreferrer noopener\">Data Lake<\/a>, a ideia por tr\u00e1s do reposit\u00f3rio \u00e9 <strong>manter informa\u00e7\u00f5es dos mais diferentes tipos que, no futuro, ser\u00e3o \u00fateis para captar ideias necess\u00e1rias na empresa<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Muitas vezes o cientista de dados analisa o <em>Data Lake<\/em> sem um objetivo espec\u00edfico, buscando por padr\u00f5es repetidos de consumo ou comportamentos dos clientes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Outra pr\u00e1tica comum \u00e9 procurar informa\u00e7\u00f5es conforme novas demandas surgem no mercado. H\u00e1 flexibilidade na edi\u00e7\u00e3o de dados do <em>Data Lake<\/em>, mesmo com mais desorganiza\u00e7\u00e3o estrutural.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Utiliza\u00e7\u00e3o do <em>Data Warehouse<\/em><\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Em contrapartida, <a href=\"https:\/\/darkorchid-wallaby-287256.hostingersite.com\/data-warehouse\/\" target=\"_blank\" rel=\"noreferrer noopener\"><em>Data Warehouse<\/em><\/a> possui um desenho que <strong>favorece as tomadas de decis\u00f5es<\/strong>, com cruzamentos automatizados de an\u00e1lises e relat\u00f3rios avan\u00e7ados em gr\u00e1ficos intuitivos para otimizar acertadamente.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O<em> Data Warehouse<\/em> \u00e9 um excelente recurso para solucionar problemas e encontrar alternativas no momento de decis\u00e3o, visando evoluir a lucratividade ou qualidade laboral das diferentes \u00e1reas do empreendimento.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Se considerar que somente os dados processados s\u00e3o hospedados, um <em>Data Warehouse <\/em>funciona de modo espec\u00edfico em uma organiza\u00e7\u00e3o, com espa\u00e7o para armazenamento indispon\u00edvel aos desperd\u00edcios das informa\u00e7\u00f5es digitais, in\u00fateis \u00e0 primeira vista.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"leia-mais-linkedin\"><strong>Tipos de usu\u00e1rios<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Data Lake<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Uma vez que <strong>abriga qualquer tipo de dados sobre diferentes assuntos<\/strong> e pela capacidade de armazenar um massivo n\u00famero de arquivos, essa base se direciona aos cientistas de dados.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tenha total liberdade para realizar consultas de acordo com modelos pr\u00f3prios ou usar ferramentas na finalidade de listar e categorizar assuntos para identificar <em>insights<\/em>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Data Warehouse<\/strong><\/h3>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p>Informa\u00e7\u00f5es brutas n\u00e3o estruturadas s\u00e3o dif\u00edceis de serem interpretadas por quem n\u00e3o \u00e9 cientista de dados. Por esse motivo, <strong>gestores de neg\u00f3cios que precisam deliberar com frequ\u00eancia, beneficiam-se mais usando esse tipo de data base<\/strong>.<\/p><\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">Os dados s\u00e3o interpretados ao f\u00e1cil uso comercial em tabelas, planilhas, gr\u00e1ficos, entre outros recursos compreens\u00edveis pela equipe operacional, exigindo apenas familiariza\u00e7\u00e3o t\u00e9cnica com o assunto listado.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Caracter\u00edsticas da acessibilidade<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Vale considerar que <strong>n\u00e3o h\u00e1 estrutura definida para <em>Data Lake<\/em>, o que facilita inser\u00e7\u00e3o ou exclus\u00e3o de dados<\/strong>, ao passo que dificulta a interpreta\u00e7\u00e3o por parte de quem n\u00e3o \u00e9 especialista em arquivos de <a href=\"https:\/\/darkorchid-wallaby-287256.hostingersite.com\/beneficios-do-data-science-para-empresas\/\" target=\"_blank\" rel=\"noreferrer noopener\"><em>Data Science<\/em><\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">O <strong><em>Data Warehouse<\/em><\/strong><strong> tem <\/strong><strong><em>design<\/em><\/strong><strong> mais estruturado e de f\u00e1cil compreens\u00e3o ao gestor<\/strong>. O processamento e a estrutura da base de dados \u00e9 simples de decifrar, mas as limita\u00e7\u00f5es t\u00e9cnicas dificultam a manipula\u00e7\u00e3o das informa\u00e7\u00f5es.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Qual o melhor para cada empresa?<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Se existe <em>Data Warehouse<\/em> na empresa, qual a raz\u00e3o de investir no <em>Data Lake<\/em>? De forma prov\u00e1vel essa pergunta est\u00e1 em sua mente ao buscar formas de diminuir os custos da produ\u00e7\u00e3o no neg\u00f3cio, certo?<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Data Warehouse<\/em> \u00e9 uma tend\u00eancia que surgiu no final do s\u00e9culo XX para ficar nos ambientes virtuais corporativos. Nesse caso <strong>os dados est\u00e3o organizados, limpos e dispon\u00edveis diante de um esquema aplicado para a utiliza\u00e7\u00e3o administrativa<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Contudo, em dois aspectos o <em>Data Warehouse<\/em> n\u00e3o funciona adequadamente:<\/p>\n\n\n\n<ol class=\"wp-block-list\"><li>com o mundo globalizado, aumenta a velocidade das demandas por respostas de quest\u00f5es n\u00e3o planejadas pelos gestores previamente, sendo que o conte\u00fado do <em>Data Warehouse<\/em> se direciona aos dados planejados;<\/li><li>empresas utilizam muito mais tempo na organiza\u00e7\u00e3o e prepara\u00e7\u00e3o dos dados em <em>Data Warehouse<\/em> do que no uso das informa\u00e7\u00f5es organizadas.<\/li><\/ol>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>O <\/strong><strong><em>Data Lake<\/em><\/strong><strong> elimina os dois problemas mencionados acima<\/strong> por se tratar de uma base de dados brutos inseridos sem esquemas, modelos ou padr\u00f5es.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Entenda melhor a diferen\u00e7a de<em> Data Lake<\/em> e <em>Data Warehouse<\/em> no quadro comparativo demonstrado abaixo:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><\/td><td><strong><em>Data Lake<\/em><\/strong><\/td><td><strong><em>Data Warehouse<\/em><\/strong><\/td><\/tr><tr><td><strong>Acessibilidade<\/strong><\/td><td>R\u00e1pido de acessar e bastante acess\u00edvel<\/td><td>Dif\u00edcil e demorado para realizar altera\u00e7\u00f5es<\/td><\/tr><tr><td><strong>Utiliza\u00e7\u00e3o comercial<\/strong><\/td><td>Cientistas de dados<\/td><td>Gestores de neg\u00f3cios<\/td><\/tr><tr><td><strong>Objetivos pr\u00e9vios<\/strong><\/td><td>Indeterminados<\/td><td>Determinados<\/td><\/tr><tr><td><strong>Estrutura de dados<\/strong><\/td><td>Brutos<\/td><td>Processados<\/td><\/tr><tr><td><strong><em>Insights<\/em><\/strong><\/td><td>Dif\u00edceis de identificar<\/td><td>F\u00e1ceis para achar<\/td><\/tr><tr><td><strong>Inser\u00e7\u00e3o de dados<\/strong><\/td><td>Flex\u00edvel<\/td><td>Um pouco limitado<\/td><\/tr><tr><td><strong>Organiza\u00e7\u00e3o<\/strong><\/td><td>N\u00e3o<\/td><td>Sim<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">O conte\u00fado na tela do computador corporativo \u00e9 importante? Sim, mas poucas informa\u00e7\u00f5es t\u00eam relev\u00e2ncias semelhantes. Todavia, descartar dados sem captura e processamento adequado consiste em uma pr\u00e1tica desfavor\u00e1vel \u00e0s empresas no s\u00e9culo XXI.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">No <em>Data Lake<\/em> voc\u00ea insere todas as informa\u00e7\u00f5es mais r\u00e1pido e sem muitas preocupa\u00e7\u00f5es quanto \u00e0 utilidade. Dados mais valiosos aos neg\u00f3cios devem permanecer em <em>Data Warehouse<\/em>. Mas lembre-se, as duas bases s\u00e3o essenciais aos neg\u00f3cios.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Conclus\u00e3o<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Como voc\u00ea p\u00f4de observar, o <em>Data Lake<\/em> e <em>Data Warehouse<\/em> s\u00e3o dois sistemas usados de acordo com as necessidades operacionais e gerais do empreendimento e dependem da inten\u00e7\u00e3o de uso da empresa ou potencial de tratamento das informa\u00e7\u00f5es.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Curta nossas redes sociais para conhecer outras novidades sobre <em>Data Science<\/em> aplicadas em pr\u00e1ticas de <em>intelig\u00eancia business<\/em>.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Quer saber mais sobre Data Lake e Data Warehouse e como escolher o melhor ambiente para armazenar o Big Data? Consulte um de nossos EXperts e descubra se em sua empresa esse passo ser\u00e1 necess\u00e1rio. Caso n\u00e3o seja, nosso time de especialistas ir\u00e1 te direcionar para a melhor op\u00e7\u00e3o. Preencha o formul\u00e1rio e entraremos em contato com voc\u00ea o mais r\u00e1pido poss\u00edvel.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Que tal escolher agora entre o Data Lake ou o Data Warehouse?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Agora que voc\u00ea tem todas as informa\u00e7\u00f5es necess\u00e1rias sobre o Data Lake e o Data Warehouse, escolha com a ajuda do nosso time de EXperts o ambiente ideal para armazenar seu Big Data.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Preencha nosso formul\u00e1rio e aguarde nosso contato.<\/strong><\/p>","protected":false},"excerpt":{"rendered":"<p><span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">Tempo de leitura:<\/span> <span class=\"rt-time\"> 7<\/span> <span class=\"rt-label rt-postfix\">minutos<\/span><\/span>Voc\u00ea sabia que existem mais informa\u00e7\u00f5es digitais nos computadores do mundo e em nuvem do que \u00e9 poss\u00edvel calcular? Hoje, praticamente todas as \u00e1reas da vida se relacionam a dados e no universo empresarial n\u00e3o \u00e9 diferente. Todos os dias surgem milh\u00f5es de informa\u00e7\u00f5es, com in\u00fameros processos f\u00e1ceis de confundir: Big Data, Data Driven, Business [&hellip;]<\/p>\n","protected":false},"author":15,"featured_media":8683,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"off","_et_pb_old_content":"","_et_gb_content_width":"1080","_monsterinsights_skip_tracking":false,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"categories":[52],"tags":[],"class_list":["post-8674","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-dados"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Data Lake vs. Data Warehouse: qual a diferen\u00e7a entre esses conceitos?<\/title>\n<meta name=\"description\" content=\"Compreenda as semelhan\u00e7as entre 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