{"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\/es\/big-data-fast-data-gap\/","title":{"rendered":"La brecha entre Big Data y Fast Data"},"content":{"rendered":"<h4>Grandes datos<\/h4>\n<p>Apache Hadoop <em>el<\/em> plataforma de big data. Se dise\u00f1\u00f3 para obtener valor del volumen. Puede almacenar y procesar <strong>mucho<\/strong> de datos en <u>resto<\/u>big data. Se dise\u00f1\u00f3 para el an\u00e1lisis. No se dise\u00f1\u00f3 para la velocidad.<\/p>\n<p>Es un almac\u00e9n. Es eficiente para a\u00f1adir y quitar <em>muchos<\/em> art\u00edculos de un almac\u00e9n. Es <u>no<\/u> eficiente para a\u00f1adir y eliminar un <em>solo<\/em> art\u00edculo de un almac\u00e9n.<\/p>\n<p>Los conjuntos de datos se almacenan. La informaci\u00f3n se genera a partir de datos hist\u00f3ricos y se puede recuperar. Volumen 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>Datos r\u00e1pidos<\/h4>\n<p>Apache Storm es <em>el<\/em> plataforma de procesamiento de flujos. Se dise\u00f1\u00f3 para obtener valor de la velocidad. Puede procesar datos en <u>movimiento<\/u>datos r\u00e1pidos. No fue dise\u00f1ado para el volumen.<\/p>\n<p>Es una cinta transportadora. Los art\u00edculos se colocan en la cinta transportadora, donde pueden procesarse hasta que se retiran de ella. Los art\u00edculos <u>no<\/u> permanecen en la cinta transportadora indefinidamente.  Se colocan en ella. Se retiran de ella.<\/p>\n<p>Los datos se canalizan. La informaci\u00f3n se genera a partir de los datos actuales, pero <u>no puede<\/u> recup\u00e9rala. Velocidad 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>El GAP<\/h4>\n<p>Sin embargo, falta algo. C\u00f3mo acaban los art\u00edculos colocados en una cinta transportadora en un almac\u00e9n?<\/p>\n<p>Couchbase Server es <em>el<\/em> base de datos NoSQL empresarial. Est\u00e1 dise\u00f1ada para obtener valor de una combinaci\u00f3n de volumen y velocidad (y variedad).<\/p>\n<p>Se trata de una caja. Al final de la cinta transportadora, los art\u00edculos se a\u00f1aden a las cajas. Es eficaz a\u00f1adir y retirar art\u00edculos de una caja. Es eficaz a\u00f1adir y retirar cajas de un almac\u00e9n.<\/p>\n<p>Los datos se almacenan y se recuperan. Volumen + Velocidad + Variedad<\/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>La soluci\u00f3n<\/h4>\n<p>Una arquitectura de big data en tiempo real incluye un procesador de flujos como Apache Storm, una base de datos NoSQL empresarial como Couchbase Server y una plataforma de big data como Apache Hadoop.<\/p>\n<p><strong>Opci\u00f3n #1<\/strong><\/p>\n<p>Las aplicaciones leen y escriben datos en Couchbase Server <em>y<\/em> escribir datos en Apache Storm. Apache Storm analiza flujos de datos y escribe los resultados en Couchbase Server utilizando un plugin (es decir, bolt). Los datos se importan a Apache Hadoop desde Couchbase Server utilizando un plugin 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>Opci\u00f3n #2<\/strong><\/p>\n<p>Las aplicaciones escriben datos en Apache Storm y leen datos de Couchbase Server. Apache Storm escribe tanto los datos (entrada) como la informaci\u00f3n (salida) en Couchbase Server. Los datos se importan a Apache Hadoop desde Couchbase Server mediante un plugin de 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>Opci\u00f3n #3<\/strong><\/p>\n<p>Las aplicaciones escriben datos en Apache Storm y leen datos de Couchbase Server. Apache Storm escribe los datos (entrada) tanto en Apache Couchbase como en Apache Hadoop. Adem\u00e1s, Apache Storm escribe la informaci\u00f3n (salida) tanto en Couchbase Server como en 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>Resumen<\/h4>\n<p>Este art\u00edculo describe tres arquitecturas de big data en tiempo real. Sin embargo, lo mejor de dise\u00f1ar una arquitectura de big data en tiempo real es que es como jugar con Legos. Los componentes vienen en muchas formas y tama\u00f1os, y depende del arquitecto o arquitectos seleccionar y conectar las piezas necesarias para construir la soluci\u00f3n m\u00e1s eficiente y eficaz posible. Es un reto apasionante.<\/p>\n<p>\u00danete a la conversaci\u00f3n en reddit (<a href=\"https:\/\/www.reddit.com\/r\/bigdata\/comments\/1zq9wj\/the_big_data_fast_data_gap\/\">enlace<\/a>).<br \/>\n\u00danete a la conversaci\u00f3n en Hacker News (<a href=\"https:\/\/news.ycombinator.com\/item?id=7354752\">enlace<\/a>).<\/p>\n<p><strong>Ejemplos<\/strong><\/p>\n<p>Vea c\u00f3mo estos clientes empresariales est\u00e1n aprovechando Apache Hadoop, Apache Storm y m\u00e1s con Couchbase Server.<\/p>\n<p>LivePerson - Apache Hadoop + Apache Storm + Servidor Couchbase<br \/>\nQuestPoint - Apache Hadoop + Servidor Couchbase<br \/>\nMcGraw-Hill Education - Servidor Elasticsearch + Couchbase<\/p>\n<p>AOL - Apache Hadoop + Servidor Couchbase<br \/>\nAdAction - Apache Hadoop + Servidor Couchbase<\/p>\n<p><strong>Referencia<\/strong><\/p>\n<p>Conectores de servidor Couchbase (<a href=\"https:\/\/www.couchbase.com\/blog\/es\/couchbase-server\/connectors\/\">enlace<\/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 v26.1 (Yoast SEO v26.1.1) - 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\/es\/big-data-fast-data-gap\/\" \/>\n<meta property=\"og:locale\" content=\"es_MX\" \/>\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. 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. 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