{"id":2327,"date":"2013-09-16T17:57:09","date_gmt":"2013-09-16T17:57:09","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=2327"},"modified":"2013-09-16T18:01:50","modified_gmt":"2013-09-16T18:01:50","slug":"big-data-mobility-cloud-technologies-put-pressure-on-federal-it","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/big-data-mobility-cloud-technologies-put-pressure-on-federal-it\/2327\/","title":{"rendered":"Big Data, Mobility, Cloud Technologies Put Pressure on Federal IT"},"content":{"rendered":"To overcome these challenges, network managers expect to transform almost half of their agency\u2019s infrastructure by 2015. Federal agencies plan to fully deploy data center consolidation, mobility, security, big data and cloud computing (the Big Five) efforts in the next two years, but their networks aren&#8217;t prepared for the additional capacity or complexity, which will result in network bottlenecks, according to a study released by MeriTalk, a public-private partnership focused on improving the outcomes of government IT, and underwritten by Brocade. While agencies have a long way to go in preparing their networks for the Big Five, the <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/big-data-mobility-cloud-technologies-put-pressure-on-federal-it\/2327\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>To overcome these challenges, network managers expect to transform almost half of their agency\u2019s infrastructure by 2015. Federal agencies plan to fully deploy data center consolidation, mobility, security, big data and cloud computing (the Big Five) efforts in the next two years, but their networks aren&#8217;t prepared for the additional capacity or complexity, which will [&hellip;]<\/p>\n","protected":false},"author":343,"featured_media":2331,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11],"tags":[59,137,136,63,138,8],"class_list":["post-2327","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry-news","tag-analytics","tag-bigdata","tag-cloud","tag-data-mining","tag-it","tag-predictive-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2327","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/343"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=2327"}],"version-history":[{"count":9,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2327\/revisions"}],"predecessor-version":[{"id":2336,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2327\/revisions\/2336"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media\/2331"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=2327"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=2327"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=2327"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}