{"id":5052,"date":"2015-03-05T15:31:02","date_gmt":"2015-03-05T15:31:02","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=5052"},"modified":"2015-03-05T15:31:15","modified_gmt":"2015-03-05T15:31:15","slug":"contradictions-of-big-data","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/contradictions-of-big-data\/5052\/","title":{"rendered":"Contradictions of Big Data"},"content":{"rendered":"What we\u2019ve been told We\u2019ve been told that Big Data is the greatest thing since sliced bread, and that its major characteristics are massive volumes (so great are they that mainstream relational products and technologies such as Oracle, DB2 and Teradata just can\u2019t hack it), high variety (not only structured data, but also the whole range of digital data), and high velocity (the speed at which data is generated and transmitted). Also, from time to time, much to the chagrin of some Big Data disciples, a whole slew of new identifying Vs are produced, touted and then dismissed <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/contradictions-of-big-data\/5052\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>What we\u2019ve been told We\u2019ve been told that Big Data is the greatest thing since sliced bread, and that its major characteristics are massive volumes (so great are they that mainstream relational products and technologies such as Oracle, DB2 and Teradata just can\u2019t hack it), high variety (not only structured data, but also the whole [&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-5052","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\/5052","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=5052"}],"version-history":[{"count":3,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5052\/revisions"}],"predecessor-version":[{"id":5055,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5052\/revisions\/5055"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=5052"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=5052"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=5052"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}