{"id":6579,"date":"2013-03-20T10:15:00","date_gmt":"2013-03-20T10:15:00","guid":{"rendered":"http:\/\/cloudcomputing.sys-con.com\/node\/2584572"},"modified":"2013-03-20T10:15:00","modified_gmt":"2013-03-20T10:15:00","slug":"enabling-real-time-analytics-using-an-in-memory-data-grid","status":"publish","type":"post","link":"https:\/\/icloud.pe\/blog\/enabling-real-time-analytics-using-an-in-memory-data-grid\/","title":{"rendered":"Enabling Real-Time Analytics Using an In-Memory Data Grid"},"content":{"rendered":"<p>In-memory data grids (IMDGs) have seen rapid adoption over the last several years driven by the need to help applications scale their performance as workloads grow. Because IMDGs host fast-changing (\u201coperational\u201d) data in memory across a cluster of servers, they also offer the ability to perform real-time analytics on this data as it flows through the grid. Recent advances in IMDG technology now enable Hadoop MapReduce-style analytics to be integrated into the IMDG\u2019s architecture, performing parallel analysis even while operational data is changing. This exciting new capability creates the opportunity for real-time analysis in financial trading systems, credit card fraud detection, power systems monitoring, and many other applications. <\/p>\n<p>This session will explain how to use an IMDG to perform real-time analytics and will describe recent benchmark results that demonstrate its power to deliver fast results for operational systems.<\/p>\n<p><a href=\"http:\/\/cloudcomputing.sys-con.com\/node\/2584572\" >read more<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In-memory data grids (IMDGs) have seen rapid adoption over the last several years driven by the need to help applications scale their performance as workloads grow. Because IMDGs host fast-changing (\u201coperational\u201d) data in memory across a cluster 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-6579","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/posts\/6579","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=6579"}],"version-history":[{"count":0,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/posts\/6579\/revisions"}],"wp:attachment":[{"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/media?parent=6579"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/categories?post=6579"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/tags?post=6579"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}