{"id":2591,"date":"2013-11-04T19:58:02","date_gmt":"2013-11-04T19:58:02","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=2591"},"modified":"2013-11-04T19:58:02","modified_gmt":"2013-11-04T19:58:02","slug":"the-human-edge-of-big-data","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/the-human-edge-of-big-data\/2591\/","title":{"rendered":"The human edge of Big Data"},"content":{"rendered":"The Big Data market is on the verge of a new era, with information becoming more accessible through a combination of self-service capabilities and advanced visualization features. Edd Dumbill, the vice president of strategy for Silicon Valley Data Science, appeared on theCUBE at SiliconANGLE\u2019s recently concluded Big Data NYC 2013 event to share his unique perspective on the cutting-edge technologies that are making analytics practical for business users. When it comes to Big Data solutions, the whole is greater than the sum of its parts. Nowhere can this been seen more clearly than in Hadoop, which Dumbill says <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/the-human-edge-of-big-data\/2591\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>The Big Data market is on the verge of a new era, with information becoming more accessible through a combination of self-service capabilities and advanced visualization features. Edd Dumbill, the vice president of strategy for Silicon Valley Data Science, appeared on theCUBE at SiliconANGLE\u2019s recently concluded Big Data NYC 2013 event to share his unique [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11],"tags":[42],"class_list":["post-2591","post","type-post","status-publish","format-standard","hentry","category-industry-news","tag-big-data"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2591","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\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=2591"}],"version-history":[{"count":4,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2591\/revisions"}],"predecessor-version":[{"id":2595,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/2591\/revisions\/2595"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=2591"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=2591"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=2591"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}