{"id":1519,"date":"2014-12-17T16:13:56","date_gmt":"2014-12-17T16:13:55","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=1519"},"modified":"2025-07-07T13:31:18","modified_gmt":"2025-07-07T20:31:18","slug":"big-data-fast-data-gap","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/pt\/big-data-fast-data-gap\/","title":{"rendered":"A lacuna entre Big Data e Fast Data"},"content":{"rendered":"<h4>Big Data<\/h4>\n<p>Apache Hadoop <em>o<\/em> plataforma de big data. Ela foi projetada para extrair valor do volume. Ela pode armazenar e processar <strong>muito<\/strong> de dados em <u>descanso<\/u>big data. Ele foi projetado para an\u00e1lises. N\u00e3o foi projetado para a velocidade.<\/p>\n<p>\u00c9 um dep\u00f3sito. \u00c9 eficiente para adicionar e remover <em>muitos<\/em> itens de um dep\u00f3sito. \u00c9 <u>n\u00e3o<\/u> eficiente para adicionar e remover um <em>\u00fanico<\/em> item de um dep\u00f3sito.<\/p>\n<p>Os conjuntos de dados s\u00e3o armazenados. As informa\u00e7\u00f5es s\u00e3o geradas a partir de dados hist\u00f3ricos, e voc\u00ea pode recuper\u00e1-las. Volume puro<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-3567\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2014\/12\/hadoop_flow.png\" alt=\" hadoop_flow\" width=\"800\" height=\"133\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/hadoop_flow.png 800w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/hadoop_flow-300x50.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/hadoop_flow-768x128.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/hadoop_flow-20x3.png 20w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/><\/p>\n<h4>Dados r\u00e1pidos<\/h4>\n<p>O Apache Storm \u00e9 <em>o<\/em> plataforma de processamento de fluxo. Ela foi projetada para extrair valor da velocidade. Ela pode processar dados em <u>movimento<\/u>, dados r\u00e1pidos. Ele n\u00e3o foi projetado para volume.<\/p>\n<p>\u00c9 uma esteira transportadora. Os itens s\u00e3o colocados na esteira transportadora, onde podem ser processados at\u00e9 serem removidos dela. Os itens fazem <u>n\u00e3o<\/u> permanecem na esteira transportadora indefinidamente.  Eles s\u00e3o colocados nela. Eles s\u00e3o removidos da esteira.<\/p>\n<p>Os itens de dados s\u00e3o canalizados. As informa\u00e7\u00f5es s\u00e3o geradas a partir dos dados atuais, mas o usu\u00e1rio <u>n\u00e3o pode<\/u> recuper\u00e1-lo. Velocidade pura<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-3568\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2014\/12\/stream_flow.png\" alt=\"stream_flow\" width=\"800\" height=\"289\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/stream_flow.png 800w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/stream_flow-300x108.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/stream_flow-768x277.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/stream_flow-20x7.png 20w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h4>O GAP<\/h4>\n<p>No entanto, h\u00e1 algo faltando. Como os itens colocados em uma esteira transportadora acabam em um dep\u00f3sito?<\/p>\n<p>O Couchbase Server \u00e9 <em>o<\/em> banco de dados NoSQL empresarial. Ele foi projetado para extrair valor de uma combina\u00e7\u00e3o de volume e velocidade (e variedade).<\/p>\n<p>\u00c9 uma caixa. No final da esteira transportadora, os itens s\u00e3o adicionados \u00e0s caixas. \u00c9 eficiente adicionar e remover itens de uma caixa. \u00c9 eficiente adicionar e remover caixas de um dep\u00f3sito.<\/p>\n<p>Os itens de dados s\u00e3o armazenados e recuperados. Volume + Velocidade + Variedade<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-3569\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2014\/12\/nosql_flow.png\" alt=\"nosql_flow\" width=\"800\" height=\"133\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/nosql_flow.png 800w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/nosql_flow-300x50.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/nosql_flow-768x128.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/nosql_flow-20x3.png 20w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h4>A solu\u00e7\u00e3o<\/h4>\n<p>Uma arquitetura de Big Data em tempo real inclui um processador de fluxo, como o Apache Storm, um banco de dados NoSQL corporativo, como o Couchbase Server, e uma plataforma de Big Data, como o Apache Hadoop.<\/p>\n<p><strong>Op\u00e7\u00e3o #1<\/strong><\/p>\n<p>Os aplicativos leem e gravam dados no Couchbase Server <em>e<\/em> gravar dados no Apache Storm. O Apache Storm analisa fluxos de dados e grava os resultados no Couchbase Server usando um plug-in (ou seja, bolt). Os dados s\u00e3o importados para o Apache Hadoop a partir do Couchbase Server usando um plug-in Sqoop.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-3570\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2014\/12\/gap_arch_opt_1.png\" alt=\"gap_arch_opt_1\" width=\"800\" height=\"533\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/gap_arch_opt_1.png 800w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/gap_arch_opt_1-300x200.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/gap_arch_opt_1-768x512.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/gap_arch_opt_1-400x267.png 400w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/gap_arch_opt_1-450x300.png 450w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/gap_arch_opt_1-20x13.png 20w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p><strong>Op\u00e7\u00e3o #2<\/strong><\/p>\n<p>Os aplicativos gravam dados no Apache Storm e leem dados do Couchbase Server. O Apache Storm grava os dados (entrada) e as informa\u00e7\u00f5es (sa\u00edda) no Couchbase Server. Os dados s\u00e3o importados para o Apache Hadoop a partir do Couchbase Server usando um plug-in do Sqoop.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-3571\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2014\/12\/gap_arch_opt_2.png\" alt=\"gap_arch_opt_2\" width=\"798\" height=\"570\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/gap_arch_opt_2.png 798w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/gap_arch_opt_2-300x214.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/gap_arch_opt_2-768x549.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/gap_arch_opt_2-20x14.png 20w\" sizes=\"auto, (max-width: 798px) 100vw, 798px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p><strong>Op\u00e7\u00e3o #3<\/strong><\/p>\n<p>Os aplicativos gravam dados no Apache Storm e leem dados do Couchbase Server. O Apache Storm grava os dados (entrada) no Apache Couchbase e no Apache Hadoop. Al\u00e9m disso, o Apache Storm grava as informa\u00e7\u00f5es (sa\u00edda) no Couchbase Server e no Apache Hadoop.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-3572\" src=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/2014\/12\/gap_arch_opt_3.png\" alt=\"gap_arch_opt_3\" width=\"800\" height=\"444\" srcset=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/gap_arch_opt_3.png 800w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/gap_arch_opt_3-300x167.png 300w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/gap_arch_opt_3-768x426.png 768w, https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2014\/12\/gap_arch_opt_3-20x11.png 20w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h4>Resumo<\/h4>\n<p>Este artigo descreve tr\u00eas arquiteturas de Big Data em tempo real. Entretanto, o melhor de projetar uma arquitetura de Big Data em tempo real \u00e9 que \u00e9 como brincar com Legos. Os componentes v\u00eam em v\u00e1rias formas e tamanhos, e cabe ao(s) arquiteto(s) selecionar e conectar as pe\u00e7as necess\u00e1rias para criar a solu\u00e7\u00e3o mais eficiente e eficaz poss\u00edvel. \u00c9 um desafio empolgante.<\/p>\n<p>Participe da conversa no reddit (<a href=\"https:\/\/www.reddit.com\/r\/bigdata\/comments\/1zq9wj\/the_big_data_fast_data_gap\/\">link<\/a>).<br \/>\nParticipe da conversa no Hacker News (<a href=\"https:\/\/news.ycombinator.com\/item?id=7354752\">link<\/a>).<\/p>\n<p><strong>Exemplos<\/strong><\/p>\n<p>Veja como esses clientes corporativos est\u00e3o aproveitando o Apache Hadoop, o Apache Storm e muito mais com o Couchbase Server.<\/p>\n<p>LivePerson - Apache Hadoop + Apache Storm + Servidor Couchbase<br \/>\nQuestPoint - Apache Hadoop + Couchbase Server<br \/>\nMcGraw-Hill Education - Elasticsearch + Couchbase Server<\/p>\n<p>AOL - Apache Hadoop + Servidor Couchbase<br \/>\nAdAction - Apache Hadoop + Servidor Couchbase<\/p>\n<p><strong>Refer\u00eancia<\/strong><\/p>\n<p>Conectores do servidor Couchbase (<a href=\"https:\/\/www.couchbase.com\/blog\/pt\/couchbase-server\/connectors\/\">link<\/a>)<\/p>","protected":false},"excerpt":{"rendered":"<p>Big Data Apache Hadoop the big data platform. It was designed to derive value from volume. It can store and process a lot of data at rest, big data. It was designed for analytics. It was not designed for velocity. [&hellip;]<\/p>","protected":false},"author":13,"featured_media":13873,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[1234,1236,1237,1238],"ppma_author":[9000],"class_list":["post-1519","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-apache-hadoop","tag-big-data","tag-fast-data","tag-real-time"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>The Big Data \/ Fast Data Gap - The Couchbase Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.couchbase.com\/blog\/pt\/big-data-fast-data-gap\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Big Data \/ Fast Data Gap\" \/>\n<meta property=\"og:description\" content=\"Big Data Apache Hadoop the big data platform. 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