{"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\/de\/blog\/big-datas-enterprise-server-concerns\/","title":{"rendered":"Big Data-Unternehmensserverprobleme"},"content":{"rendered":"<p>Da viele Unternehmen Big-Data-Analysen einsetzen, um ihre Kunden besser anzusprechen und den Betrieb zu optimieren, m\u00fcssen Rechenzentren ihre Kunden neu konfigurieren <a class=\"dnautolink\" href=\"https:\/\/serverlift.com\/de\/data-center-lifts\/sl-1000x\/\" target=\"_self\" rel=\"noopener\">Unternehmensserver<\/a> Setups, um diese Bem\u00fchungen effektiver zu erleichtern.<\/p>\n<p>Zum Teil dank Trends wie dem Internet der Dinge, Social Media, mobilen Ger\u00e4ten und Cloud Computing hat die Menge der in einem durchschnittlichen Monat generierten Daten ein zuvor unerreichtes Volumen erreicht. Laut IBM waren 90 Prozent aller derzeit vorhandenen Daten vorhanden <a href=\"http:\/\/www.forbes.com\/sites\/ciocentral\/2013\/01\/15\/big-data-get-ready-for-the-2013-big-bang\/\" target=\"_blank\" rel=\"noopener\">in den letzten zwei Jahren geschaffen<\/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>F\u00fcr intelligente Unternehmen bietet dieses Datenwachstum eine enorme Chance. Mit mehr Informationen f\u00fcr ein Analyseprogramm, das auf einem hochmodernen Unternehmensserver ausgef\u00fchrt wird, k\u00f6nnen Unternehmen detaillierte Einblicke in ihre Kunden und Abl\u00e4ufe gewinnen. Die zwei bekanntesten Beispiele f\u00fcr die Leistungsf\u00e4higkeit der Big-Data-Analyse stammen von Target und dem Blogger der New York Times, Nate Silver:<\/p>\n<ul>\n<li>Im Jahr 2012 berichtete die Times, dass der Einzelh\u00e4ndler Target mithilfe von Informationen aus fr\u00fcheren Eink\u00e4ufen und anderen identifizierenden Daten wie Alter und Geschlecht mit gro\u00dfer Genauigkeit bestimmte, was ein K\u00e4ufer in den n\u00e4chsten Monaten erhalten m\u00f6chte. Zum Beispiel konnte Target anhand der j\u00fcngsten Zahlungsdaten feststellen, dass es sich um ein Highschool-M\u00e4dchen in Minnesota handelt <a href=\"http:\/\/www.nytimes.com\/2012\/02\/19\/magazine\/shopping-habits.html?pagewanted=6&amp;_r=1&amp;hp\" target=\"_blank\" rel=\"noopener\">schwanger, bevor ihre Eltern wussten<\/a>.<\/li>\n<li>Durch die Verwendung gro\u00dfer Datenmengen in seinem Analyseprogramm konnte Silver dies erreichen <a href=\"http:\/\/adage.com\/article\/campaign-trail\/nate-silver-s-election-predictions-a-win-big-data-york-times\/238182\/\" target=\"_blank\" rel=\"noopener\">das Ergebnis genau vorhersagen<\/a> AdAge berichtete \u00fcber die Pr\u00e4sidentschaftswahlen 2012 vor dem Wahltag. Sein Algorithmus war in 49 Bundesstaaten korrekt, und dies ist die zweite Pr\u00e4sidentschaftswahl, die Silver vorzeitig korrekt durchf\u00fchren konnte.<\/li>\n<\/ul>\n<p><strong>Wenn Big Data w\u00e4chst, m\u00fcssen auch Enterprise Server- und Speicheranforderungen erf\u00fcllt werden<\/strong><br \/>\nW\u00e4hrend Big-Data-Analysen Unternehmen unz\u00e4hlige Vorteile bieten k\u00f6nnen, ben\u00f6tigen diese Organisationen auch einen Ort, an dem alle Daten gespeichert werden k\u00f6nnen. Laut Microsoft sind derzeit rund 62 Prozent der Unternehmen mit mindestens 1.000 Mitarbeitern in der Fertigungs-, Gesundheits- und Finanzdienstleistungsbranche t\u00e4tig <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\">Speichern Sie 100 Terabyte oder mehr Daten<\/a>. Dar\u00fcber hinaus gaben 32 Prozent dieser Unternehmen an, dass sich ihr Bedarf an Datenspeicherung in den n\u00e4chsten zwei bis drei Jahren verdoppeln wird.<\/p>\n<p>Diese Probleme mit Unternehmensservern und -speichern werden durch die Notwendigkeit verst\u00e4rkt, aus Sicherheits- und Compliance-Gr\u00fcnden Sicherungskopien der Daten zu erstellen. Unternehmen, die Kundenfinanzdaten oder andere vertrauliche Informationen verwenden, m\u00fcssen wahrscheinlich eine oder mehrere zus\u00e4tzliche Versionen der Daten verwalten, falls etwas mit den Originalen passiert.<\/p>\n<p>Die Speicherung ist jedoch bei weitem nicht das einzige Problem, mit dem sich Rechenzentren im Zusammenhang mit gro\u00dfen Datenmengen auseinandersetzen m\u00fcssen. Der Schl\u00fcssel zur Big-Data-Analyse liegt nicht nur in der Menge der Informationen, sondern auch in der F\u00e4higkeit eines Unternehmens, n\u00fctzliche Erkenntnisse daraus zu gewinnen. Mit zunehmender Bedeutung von Softwareplattformen wie Apache Hadoop werden die Tools, die f\u00fcr diese Art der Analyse erforderlich sind, einfacher zu beschaffen als je zuvor. Unternehmen, die diese Art von Programmen verwenden, m\u00fcssen jedoch sicherstellen, dass der Unternehmensserver, der die Analyse erleichtert, leistungsf\u00e4hig genug f\u00fcr den Job ist.<\/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=\"Da Big Data Analytics immer beliebter wird, m\u00fcssen Rechenzentren ihre Enterprise-Server- und Speicherinfrastruktur aktualisieren, um mithalten zu k\u00f6nnen.\" width=\"300\" height=\"225\" \/><\/a><figcaption id=\"caption-attachment-9412\" class=\"wp-caption-text\">Da Big Data Analytics immer beliebter wird, m\u00fcssen Rechenzentren ihre Enterprise-Server- und Speicherinfrastruktur aktualisieren, um mithalten zu k\u00f6nnen.<\/figcaption><\/figure>\n<p>Big Data kann Rechenzentren mit einer Reihe wichtiger Probleme in Bezug auf die Speicherung und Verarbeitung konfrontieren, aber die Antwort ist gl\u00fccklicherweise einfach: Stellen Sie sicher, dass jeder Server im Rechenzentrum ein Unternehmensserver ist, der f\u00fcr diese Dilemmata entwickelt wurde. Da die Datenstr\u00f6me in den kommenden Jahren noch gr\u00f6\u00dfer werden, m\u00f6chten F\u00fchrungskr\u00e4fte auf C-Ebene wahrscheinlich die Big-Data-Analyse zu einem gr\u00f6\u00dferen Unternehmensfokus machen. Big Data bleibt in der Zukunft, und Rechenzentren m\u00fcssen m\u00f6glicherweise ihre Konfigurationen aktualisieren, um dem Trend gerecht zu werden und relevant zu bleiben.<\/p>\n<p>&quot;Die Welt der &#039;Big Data&#039; \u00e4ndert sich unmittelbar vor unseren Augen dramatisch - von der Zunahme des Wachstums von Big Data bis zu der Art und Weise, wie es strukturiert und genutzt wird&quot;, so CSC. &quot;Der Trend des &#039;Big Data-Wachstums&#039; stellt enorme Herausforderungen, bietet aber auch unglaubliche Gesch\u00e4ftsm\u00f6glichkeiten.&quot;<\/p>","protected":false},"excerpt":{"rendered":"<p>Da Big Data Analytics immer beliebter wird, m\u00fcssen Rechenzentren ihre Enterprise-Server- und Speicherinfrastruktur aktualisieren, um mithalten zu k\u00f6nnen.<\/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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