{"id":5840,"date":"2015-07-22T10:00:25","date_gmt":"2015-07-22T14:00:25","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=5840"},"modified":"2015-07-20T10:02:35","modified_gmt":"2015-07-20T14:02:35","slug":"taking-the-mystery-out-of-big-data","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/taking-the-mystery-out-of-big-data\/5840\/","title":{"rendered":"Taking the Mystery Out of Big Data"},"content":{"rendered":"Today&#8217;s companies have the potential to benefit from incredibly large amounts of data. To shake off the mystery of this &#8220;Big Data,&#8221; it&#8217;s useful to know its history. In the not-so-distant past, firms tracked their own internal transactions and master data (products, customers, employees, and so forth) but little else. Companies probably only had very large databases if their industry called for high-volume and high-speed applications such as telecommunication, shipping, or point of sales. Even then, these transactions were all formatted in a standard way and could be saved inside the relational database IBM designed in the 1960s. <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/taking-the-mystery-out-of-big-data\/5840\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Today&#8217;s companies have the potential to benefit from incredibly large amounts of data. To shake off the mystery of this &#8220;Big Data,&#8221; it&#8217;s useful to know its history. In the not-so-distant past, firms tracked their own internal transactions and master data (products, customers, employees, and so forth) but little else. Companies probably only had very [&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":[59,42,125,50],"class_list":["post-5840","post","type-post","status-publish","format-standard","hentry","category-industry-news","tag-analytics","tag-big-data","tag-business-intelligence","tag-hadoop"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5840","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=5840"}],"version-history":[{"count":3,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5840\/revisions"}],"predecessor-version":[{"id":5843,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5840\/revisions\/5843"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=5840"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=5840"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=5840"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}