{"id":10170,"date":"2014-02-06T09:28:43","date_gmt":"2014-02-06T09:28:43","guid":{"rendered":"http:\/\/www.cloudcomputing-news.net\/blog-hub\/2014\/feb\/06\/in-memory-stepping-up-to-big-and-fast-data-analytic-crunch\/"},"modified":"2014-02-06T09:28:43","modified_gmt":"2014-02-06T09:28:43","slug":"in-memory-stepping-up-to-big-and-fast-data-analytic-crunch","status":"publish","type":"post","link":"https:\/\/icloud.pe\/blog\/in-memory-stepping-up-to-big-and-fast-data-analytic-crunch\/","title":{"rendered":"In-memory stepping up to big and fast data analytic crunch"},"content":{"rendered":"<p><strong>Madan Sheina, Lead Analyst, Software &ndash; Information Management<\/strong><\/p>\n<p>Interest in in-memory computing platforms is rising. Until now, the primary driver has been the &ldquo;need for speed,&rdquo; helping companies to process relatively modest data sets more quickly.<\/p>\n<p>Both traditional and newer in-memory vendors are looking to scale-up these capabilities with innovative platforms that promise to meet the increasing demand for more accelerated, operationally driven analytics against Big Data residing in Hadoop environments.<\/p>\n<p>Their efforts promise to overcome the limitations of traditional analytic architectures and, if successful, to bolster Hadoop&rsquo;s credentials as a mainstream option for operational enterprise computing needs.<\/p>\n<h3>Two magnitudes of in-memory play into Hadoop<\/h3>\n<p>Two &ldquo;magnitudes&rdquo; of in-memory stand out &ndash; processing speed and data scale. In-memory has more or less proved itself as a viable platform for processing data more quickly &ndash; at speeds that traditional technologies simply cannot handle. For companies that require realtime analytics, in-memory computing is certainly &#8230;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Madan Sheina, Lead Analyst, Software &ndash; Information Management<br \/>\nInterest in in-memory computing platforms is rising. Until now, the primary driver has been the &ldquo;need for speed,&rdquo; helping companies to process relatively modest data sets m&#8230;<\/p>\n","protected":false},"author":9,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-10170","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/posts\/10170","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/comments?post=10170"}],"version-history":[{"count":0,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/posts\/10170\/revisions"}],"wp:attachment":[{"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/media?parent=10170"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/categories?post=10170"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/tags?post=10170"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}