{"id":1248,"date":"2012-04-27T15:42:00","date_gmt":"2012-04-27T15:42:00","guid":{"rendered":"http:\/\/cloudcomputing.sys-con.com\/node\/2265173"},"modified":"2012-04-27T15:42:00","modified_gmt":"2012-04-27T15:42:00","slug":"teradata-claims-to-put-wings-on-big-data-analytics","status":"publish","type":"post","link":"https:\/\/icloud.pe\/blog\/teradata-claims-to-put-wings-on-big-data-analytics\/","title":{"rendered":"Teradata Claims to Put Wings on Big Data Analytics"},"content":{"rendered":"<p>Teradata, the doyen of the Big Data set, has got a new purpose-built appliance for SAS high-performance analytics that uses an in-memory approach for hyper-fast results.<br \/>\nIn other words, it distributes complex analytics in parallel across a vast pool of memory looking for patterns in large volumes of data.<br \/>\nIt reportedly whittled what would normally have been a 167-hour project in financial risk analysis at some Wall Street bank or another down to 84 seconds.<br \/>\nTeradata claims other customers can expect as much and expects it to \u201ckick competitive butt.\u201d It claims IBM, Oracle and SAP, which have their own in-memory systems, \u201clack the foundational analytics.\u201d<\/p>\n<p><a href=\"http:\/\/cloudcomputing.sys-con.com\/node\/2265173\" >read more<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Teradata, the doyen of the Big Data set, has got a new purpose-built appliance for SAS high-performance analytics that uses an in-memory approach for hyper-fast results.<br \/>\nIn other words, it distributes complex analytics in parallel across a vast pool of&#8230;<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-1248","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/posts\/1248","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\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/comments?post=1248"}],"version-history":[{"count":0,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/posts\/1248\/revisions"}],"wp:attachment":[{"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/media?parent=1248"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/categories?post=1248"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/tags?post=1248"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}