{"id":44381,"date":"2024-04-15T21:42:57","date_gmt":"2024-04-15T21:42:57","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=44381"},"modified":"2024-04-15T21:42:57","modified_gmt":"2024-04-15T21:42:57","slug":"3vs-are-not-sufficient-to-describe-big-data","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/3vs-are-not-sufficient-to-describe-big-data\/","title":{"rendered":"3V&#8217;s are not sufficient to describe big data."},"content":{"rendered":"<p>[amp_mcq option1=&#8221;TRUE&#8221; option2=&#8221;nan&#8221; option3=&#8221;nan&#8221; option4=&#8221;nan&#8221; correct=&#8221;option3&#8243;]<!--more--><\/p>\n<p>The correct answer is: <strong>True<\/strong>.<\/p>\n<p>The 3V&#8217;s of big data are volume, velocity, and variety. However, these 3V&#8217;s are not sufficient to describe big data. Other important characteristics of big data include veracity, value, and variability.<\/p>\n<ul>\n<li><strong>Veracity<\/strong> refers to the accuracy and reliability of big data. Big data can be very complex and difficult to understand, which can make it difficult to determine its accuracy.<\/li>\n<li><strong>Value<\/strong> refers to the usefulness of big data. Big data can be used to solve problems, make decisions, and improve efficiency. However, not all big data is valuable.<\/li>\n<li><strong>Variability<\/strong> refers to the changing nature of big data. Big data is constantly being generated, and the volume, velocity, and variety of big data can change rapidly. This makes it difficult to manage and analyze big data.<\/li>\n<\/ul>\n<p>In conclusion, the 3V&#8217;s of big data are not sufficient to describe big data. Other important characteristics of big data include veracity, value, and variability.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[amp_mcq option1=&#8221;TRUE&#8221; option2=&#8221;nan&#8221; option3=&#8221;nan&#8221; option4=&#8221;nan&#8221; correct=&#8221;option3&#8243;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[734],"tags":[],"class_list":["post-44381","post","type-post","status-publish","format-standard","hentry","category-introduction-to-data-science","no-featured-image-padding"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.2 (Yoast SEO v23.3) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>3V&#039;s are not sufficient to describe big data.<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/exam.pscnotes.com\/mcq\/3vs-are-not-sufficient-to-describe-big-data\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"3V&#039;s are not sufficient to describe big data.\" \/>\n<meta property=\"og:description\" content=\"[amp_mcq option1=&#8221;TRUE&#8221; 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