{"id":9411,"date":"2013-09-12T17:06:04","date_gmt":"2013-09-12T17:06:04","guid":{"rendered":"https:\/\/serverlift.com\/?p=9411"},"modified":"2024-07-23T18:58:07","modified_gmt":"2024-07-23T18:58:07","slug":"big-datas-enterprise-server-concerns","status":"publish","type":"post","link":"https:\/\/serverlift.com\/es\/blog\/big-datas-enterprise-server-concerns\/","title":{"rendered":"Big Data &amp; #8217; Preocupaciones del servidor empresarial"},"content":{"rendered":"<p>Como muchas empresas adoptan el an\u00e1lisis de big data para apuntar mejor a los consumidores y optimizar las operaciones, los centros de datos deben reconfigurar sus <a class=\"dnautolink\" href=\"https:\/\/serverlift.com\/es\/data-center-lifts\/sl-1000x\/\" target=\"_self\" rel=\"noopener\">servidor empresarial<\/a> configuraciones para facilitar m\u00e1s eficazmente estos esfuerzos.<\/p>\n<p>Gracias en parte a tendencias como el Internet de las cosas, las redes sociales, los dispositivos m\u00f3viles y la computaci\u00f3n en la nube, la cantidad de datos generados en un mes promedio ha alcanzado vol\u00famenes nunca antes vistos. Seg\u00fan IBM, el 90 por ciento de todos los datos actualmente existentes eran <a href=\"http:\/\/www.forbes.com\/sites\/ciocentral\/2013\/01\/15\/big-data-get-ready-for-the-2013-big-bang\/\" target=\"_blank\" rel=\"noopener\">creado en los \u00faltimos dos a\u00f1os<\/a>, and these volumes are only expected to grow further in the future. IT services company CSC predicted that 35 zettabytes of data will be created by 2020, which is 44 times greater than the amount created in 2009.<\/p>\n<p>Para las empresas inteligentes, este crecimiento de datos representa una enorme oportunidad. Con m\u00e1s informaci\u00f3n para alimentar un programa de an\u00e1lisis ejecutado en un servidor empresarial de \u00faltima generaci\u00f3n, las empresas pueden obtener informaci\u00f3n detallada sobre sus clientes y operaciones. Quiz\u00e1s los dos ejemplos m\u00e1s famosos del poder del an\u00e1lisis de big data provienen de Target y la blogger de The New York Times, Nate Silver:<\/p>\n<ul>\n<li>En 2012, el Times inform\u00f3 que al usar informaci\u00f3n recopilada de compras pasadas adem\u00e1s de otros datos de identificaci\u00f3n como la edad y el sexo, el minorista Target determin\u00f3 con gran precisi\u00f3n lo que un comprador querr\u00e1 obtener en los pr\u00f3ximos meses. Por ejemplo, al observar los datos de pago recientes, Target pudo determinar que una ni\u00f1a de secundaria en Minnesota era <a href=\"http:\/\/www.nytimes.com\/2012\/02\/19\/magazine\/shopping-habits.html?pagewanted=6&amp;_r=1&amp;hp\" target=\"_blank\" rel=\"noopener\">embarazada antes de que sus padres supieran<\/a>.<\/li>\n<li>Al utilizar grandes cantidades de datos en su programa de an\u00e1lisis, Silver pudo <a href=\"http:\/\/adage.com\/article\/campaign-trail\/nate-silver-s-election-predictions-a-win-big-data-york-times\/238182\/\" target=\"_blank\" rel=\"noopener\">predecir con precisi\u00f3n el resultado<\/a> de las elecciones presidenciales de 2012 antes del d\u00eda de votaci\u00f3n, inform\u00f3 AdAge. Su algoritmo era correcto en 49 estados, y esta es la segunda elecci\u00f3n presidencial que Silver pudo convocar correctamente temprano.<\/li>\n<\/ul>\n<p><strong>A medida que crece el Big Data, tambi\u00e9n lo hacen las necesidades de almacenamiento y servidor empresarial<\/strong><br \/>\nSi bien el an\u00e1lisis de big data puede proporcionar a las empresas innumerables beneficios, estas organizaciones tambi\u00e9n necesitan un lugar para almacenar todos los datos. Seg\u00fan Microsoft, aproximadamente el 62 por ciento de las empresas que tienen al menos 1,000 empleados y operan dentro de las industrias de manufactura, atenci\u00f3n m\u00e9dica y servicios financieros actualmente <a href=\"https:\/\/web.archive.org\/web\/20131120174635\/http:\/\/www.microsoft.com\/en-us\/news\/download\/presskits\/bigdata\/docs\/bigdata_021113.pdf\" target=\"_blank\" rel=\"noopener\">almacenar 100 terabytes o m\u00e1s de datos<\/a>. Adem\u00e1s, alrededor del 32 por ciento de estas empresas indicaron que sus demandas de almacenamiento de datos se duplicar\u00e1n en los pr\u00f3ximos dos o tres a\u00f1os.<\/p>\n<p>Para agravar estos problemas de almacenamiento y servidor empresarial es la necesidad de mantener copias de seguridad de los datos por cuestiones de seguridad y cumplimiento. Es probable que las organizaciones que usan datos financieros de los clientes u otros datos confidenciales necesiten mantener una o m\u00e1s versiones adicionales de los datos en caso de que algo les pase a los originales.<\/p>\n<p>A\u00fan as\u00ed, el almacenamiento est\u00e1 lejos de ser el \u00fanico problema relacionado con grandes datos que afecta a los centros de datos. La clave para el an\u00e1lisis de big data reside no solo en la cantidad de informaci\u00f3n, sino m\u00e1s bien en la capacidad de una organizaci\u00f3n para obtener informaci\u00f3n \u00fatil de ella. A medida que las plataformas de software como Apache Hadoop ganan importancia, las herramientas necesarias para lograr este tipo de an\u00e1lisis se vuelven m\u00e1s f\u00e1ciles de obtener que nunca. Sin embargo, las empresas que utilizan este tipo de programas deben asegurarse de que el servidor empresarial que facilita el esfuerzo anal\u00edtico sea lo suficientemente potente para el trabajo.<\/p>\n<figure id=\"attachment_9412\" aria-describedby=\"caption-attachment-9412\" style=\"width: 300px\" class=\"wp-caption alignleft\"><a href=\"https:\/\/serverlift.com\/wp-content\/uploads\/as-big-data-analytics-becomes-more-popular-data-centers-need-to-upgrade-_1320_505576_0_14090549_900.jpg\"><img fetchpriority=\"high\" decoding=\"async\" class=\"size-medium wp-image-9412\" src=\"https:\/\/serverlift.com\/wp-content\/uploads\/as-big-data-analytics-becomes-more-popular-data-centers-need-to-upgrade-_1320_505576_0_14090549_900-300x225.jpg\" alt=\"A medida que el an\u00e1lisis de big data se vuelve m\u00e1s popular, los centros de datos deben actualizar su servidor empresarial y la infraestructura de almacenamiento para mantenerse al d\u00eda.\" width=\"300\" height=\"225\" \/><\/a><figcaption id=\"caption-attachment-9412\" class=\"wp-caption-text\">A medida que el an\u00e1lisis de big data se vuelve m\u00e1s popular, los centros de datos deben actualizar su servidor empresarial y la infraestructura de almacenamiento para mantenerse al d\u00eda.<\/figcaption><\/figure>\n<p>Big Data puede presentar a los centros de datos una serie de preocupaciones clave relacionadas con el almacenamiento y el procesamiento, pero afortunadamente la respuesta es simple: aseg\u00farese de que cada servidor en el centro de datos sea un servidor empresarial creado teniendo en cuenta estos dilemas. A medida que los flujos de datos crezcan a\u00fan m\u00e1s en los pr\u00f3ximos a\u00f1os, los ejecutivos de nivel C probablemente deseen hacer de la anal\u00edtica de big data un enfoque empresarial m\u00e1s grande. Big Data lleg\u00f3 para quedarse, y los centros de datos pueden necesitar actualizar sus configuraciones para adaptarse a la tendencia y seguir siendo relevantes.<\/p>\n<p>&quot;El mundo de los &#039;big data&#039; est\u00e1 cambiando dram\u00e1ticamente ante nuestros ojos, desde el aumento en el crecimiento de big data hasta la forma en que est\u00e1 estructurado y utilizado&quot;, seg\u00fan CSC. &quot;La tendencia del &#039;crecimiento de big data&#039; presenta enormes desaf\u00edos, pero tambi\u00e9n presenta incre\u00edbles oportunidades de negocio&quot;.<\/p>","protected":false},"excerpt":{"rendered":"<p>A medida que el an\u00e1lisis de big data se vuelve m\u00e1s popular, los centros de datos deben actualizar su servidor empresarial y la infraestructura de almacenamiento para mantenerse al d\u00eda.<\/p>","protected":false},"author":2,"featured_media":17054,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":"","_wpscppro_dont_share_socialmedia":false,"_wpscppro_custom_social_share_image":0,"_facebook_share_type":"","_twitter_share_type":"","_linkedin_share_type":"","_pinterest_share_type":"","_linkedin_share_type_page":"","_instagram_share_type":"","_medium_share_type":"","_threads_share_type":"","_google_business_share_type":"","_selected_social_profile":[],"_wpsp_enable_custom_social_template":false,"_wpsp_social_scheduling":{"enabled":false,"datetime":null,"platforms":[],"status":"template_only","dateOption":"today","timeOption":"now","customDays":"","customHours":"","customDate":"","customTime":"","schedulingType":"absolute"},"_wpsp_active_default_template":true},"categories":[78],"tags":[],"class_list":["post-9411","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"yoast_head":"<!-- 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