{"id":564,"date":"2020-06-03T17:00:40","date_gmt":"2020-06-03T11:30:40","guid":{"rendered":"https:\/\/aimonks.com\/aibytes\/?p=564"},"modified":"2020-06-03T17:00:42","modified_gmt":"2020-06-03T11:30:42","slug":"big-data-the-reason-behind-netflixs-success","status":"publish","type":"post","link":"https:\/\/aimonks.com\/aibytes\/2020\/06\/03\/big-data-the-reason-behind-netflixs-success\/","title":{"rendered":"Big data: The Reason Behind Netflix&#8217;s Success"},"content":{"rendered":"<span class=\"rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">Reading Time: <\/span> <span class=\"rt-time\">2<\/span> <span class=\"rt-label rt-postfix\">minutes<\/span><\/span>\n<p><strong>Netflix <\/strong>is a name everyone knows by heart, but it wasn&#8217;t this popular when it started. The secret behind the success of Netflix is <strong>Big Data<\/strong>.<br>Today, Netflix has a <strong>massive user base exceeding 140 million<\/strong>. It aims to give its users a <strong>personalized experience <\/strong>with the help of <strong>data <\/strong>gathered.<br>Netflix has deployed several <strong>algorithms <\/strong>and <strong>mechanisms <\/strong>to help steer the company in the right direction.<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Near Real-Time Recommendation engine<\/strong>: Based on what a user watches throughout the day, Netflix uses machine learning algorithms to understand the viewer&#8217;s taste.<\/li><li><strong>Artwork &amp; Imagery Selection<\/strong>: Netflix uses a tool called Aesthetics Visual Analytics (AVA), an algorithm that selects what artwork and images to show to which group of users based on their likings.<\/li><li><strong>Production Planning<\/strong>: Big Data plays a huge role in creating new and original content based on the viewer&#8217;s response to prior content. Predictive models can save a significant amount of effort put into planning.<\/li><li><strong>Metaflow<\/strong>: Netflix has open sourced Metaflow to shift the focus if data scientists from worrying about the infrastructure of models to solving problems.<\/li><li><strong>Polynote<\/strong>: Netflix developed and opened sourced Polynote, which allows smooth integration of the JVM based ML platform.<\/li><li><strong>Metacat<\/strong>: Netflix introduced Metacat to maintain seamless interoperability among all data stores.<\/li><li><strong>Druid<\/strong>: Netflix uses Apache Druid, a high-performance real-time analytics database, to give its users a high-quality user experience every time.<\/li><li><strong>Use of Python<\/strong>: Netflix uses Python for managing aspects like applications managing the CDN infrastructure, analyzing data, prototyping visualization tools, maintaining security, etc.<\/li><\/ul>\n\n\n\n<p>Big data doesn&#8217;t just help Netflix function but presents them with new <strong>opportunities <\/strong>to grow.<\/p>\n\n\n\n<p>#AIMonks #AI #BigData #Netflix #Success #Predictive #ML #MachineLearning #Python #Metaflow #Metacat #Druid #Polynote<\/p>\n","protected":false},"excerpt":{"rendered":"<p><span class=\"rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">Reading Time: <\/span> <span class=\"rt-time\">2<\/span> <span class=\"rt-label rt-postfix\">minutes<\/span><\/span> Netflix is a name everyone knows by heart, but it wasn&#8217;t this popular when it started. The secret behind the success of Netflix is Big Data.Today, Netflix has a massive user base exceeding 140 million. It aims to give its users a personalized experience with the help of data gathered.Netflix [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":565,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[51],"tags":[35,24,509,516,32,515,514,33,510,517,512,513,511],"class_list":["post-564","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-innovation","tag-ai","tag-ai-monks","tag-big-data","tag-druid","tag-machine-learning","tag-metacat","tag-metaflow","tag-ml","tag-netflix","tag-polynote","tag-predictive","tag-pythong","tag-success"],"rttpg_featured_image_url":{"full":["https:\/\/aimonks.com\/aibytes\/wp-content\/uploads\/2020\/06\/netflix-4011346_640.jpg",640,426,false],"landscape":["https:\/\/aimonks.com\/aibytes\/wp-content\/uploads\/2020\/06\/netflix-4011346_640.jpg",640,426,false],"portraits":["https:\/\/aimonks.com\/aibytes\/wp-content\/uploads\/2020\/06\/netflix-4011346_640.jpg",640,426,false],"thumbnail":["https:\/\/aimonks.com\/aibytes\/wp-content\/uploads\/2020\/06\/netflix-4011346_640-150x150.jpg",150,150,true],"medium":["https:\/\/aimonks.com\/aibytes\/wp-content\/uploads\/2020\/06\/netflix-4011346_640-300x200.jpg",300,200,true],"large":["https:\/\/aimonks.com\/aibytes\/wp-content\/uploads\/2020\/06\/netflix-4011346_640.jpg",640,426,false],"1536x1536":["https:\/\/aimonks.com\/aibytes\/wp-content\/uploads\/2020\/06\/netflix-4011346_640.jpg",640,426,false],"2048x2048":["https:\/\/aimonks.com\/aibytes\/wp-content\/uploads\/2020\/06\/netflix-4011346_640.jpg",640,426,false],"hestia-blog":["https:\/\/aimonks.com\/aibytes\/wp-content\/uploads\/2020\/06\/netflix-4011346_640-360x240.jpg",360,240,true]},"rttpg_author":{"display_name":"AI Bytes","author_link":"https:\/\/aimonks.com\/aibytes\/author\/aibytes_kashika\/"},"rttpg_comment":0,"rttpg_category":"<a href=\"https:\/\/aimonks.com\/aibytes\/category\/daily-bytes\/innovation\/\" rel=\"category tag\">Innovation<\/a>","rttpg_excerpt":"Reading Time: 2 minutes Netflix is a name everyone knows by heart, but it wasn&#8217;t this popular when it started. The secret behind the success of Netflix is Big Data.Today, Netflix has a massive user base exceeding 140 million. It aims to give its users a personalized experience with the help of data gathered.Netflix [&hellip;]","_links":{"self":[{"href":"https:\/\/aimonks.com\/aibytes\/wp-json\/wp\/v2\/posts\/564","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aimonks.com\/aibytes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aimonks.com\/aibytes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aimonks.com\/aibytes\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/aimonks.com\/aibytes\/wp-json\/wp\/v2\/comments?post=564"}],"version-history":[{"count":1,"href":"https:\/\/aimonks.com\/aibytes\/wp-json\/wp\/v2\/posts\/564\/revisions"}],"predecessor-version":[{"id":566,"href":"https:\/\/aimonks.com\/aibytes\/wp-json\/wp\/v2\/posts\/564\/revisions\/566"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aimonks.com\/aibytes\/wp-json\/wp\/v2\/media\/565"}],"wp:attachment":[{"href":"https:\/\/aimonks.com\/aibytes\/wp-json\/wp\/v2\/media?parent=564"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aimonks.com\/aibytes\/wp-json\/wp\/v2\/categories?post=564"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aimonks.com\/aibytes\/wp-json\/wp\/v2\/tags?post=564"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}