{"id":3925,"date":"2014-08-20T18:24:16","date_gmt":"2014-08-20T18:24:16","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=3925"},"modified":"2014-08-20T18:25:05","modified_gmt":"2014-08-20T18:25:05","slug":"big-data-scientists-janitor-work-key-hurdle-insights","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/big-data-scientists-janitor-work-key-hurdle-insights\/3925\/","title":{"rendered":"For Big-Data Scientists, \u2018Janitor Work\u2019 Is Key Hurdle to Insights"},"content":{"rendered":"This New York Times article addresses what most predictive analytics practitioners refer to as data preparation. Although it uses other terms to refer to that, it draws a good birds-eye-view vantage on the topic, and covers an arena of emerging start-up companies aiming to focus on it. Technology revolutions come in measured, sometimes foot-dragging steps. The lab science and marketing enthusiasm tend to underestimate the bottlenecks to progress that must be overcome with hard work and practical engineering. The field known as \u201cbig data\u201d offers a contemporary case study. The catchphrase stands for the modern abundance of digital <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/big-data-scientists-janitor-work-key-hurdle-insights\/3925\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>This New York Times article addresses what most predictive analytics practitioners refer to as data preparation. Although it uses other terms to refer to that, it draws a good birds-eye-view vantage on the topic, and covers an arena of emerging start-up companies aiming to focus on it. Technology revolutions come in measured, sometimes foot-dragging steps. [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[],"class_list":["post-3925","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3925","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=3925"}],"version-history":[{"count":3,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3925\/revisions"}],"predecessor-version":[{"id":3928,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/3925\/revisions\/3928"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=3925"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=3925"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=3925"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}