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		<title>What are the Six V’s of Big Data ?</title>
		<link>https://www.wikitechy.com/interview-questions/big-data/what-are-the-six-vs-of-big-data/</link>
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					<description><![CDATA[Answer : Volume represents the volume i.e. amount of data that is growing...]]></description>
										<content:encoded><![CDATA[<div class="TextHeading">
<div class="hddn">
<h2 id="what-are-the-six-vs-of-big-data" class="color-pink">What are the Six V’s of Big Data ?</h2>
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<div class="hddn"><img decoding="async" class="img-responsive center-block aligncenter" src="https://cdn.wikitechy.com/interview-questions/big-data/what-are-the-six-vs-of-big-data.gif" alt=" Six V’s of Big Data " /></div>
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<div class="Content">
<div class="hddn">
<ul>
<li><b>Volume –</b> Volume represents the volume i.e. amount of data that is growing at a high rate i.e. data volume in Petabytes.</li>
<li><b>Velocity –</b> Velocity is the rate at which data grows. Social media contributes a major role in the velocity of growing data.</li>
<li><b>Variety –</b> Variety refers to the different data types i.e. various data formats like text, audios, videos, etc.</li>
<li><b>Variability –</b> This refers to establishing if the contextualizing structure of the data stream is regular and dependable even in conditions of extreme unpredictability. It defines the need to get meaningful data considering all possible circumstances.</li>
<li><b>Veracity –</b> Veracity refers to the uncertainty of available data. Veracity arises due to the high volume of data that brings incompleteness and inconsistency.</li>
<li><b>Value –</b>Value refers to turning data into value. By turning accessed big data into values, businesses may generate revenue.</li>
</ul>
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