/home/leansigm/public_html/components/com_easyblog/services<title>Three Stages of Big Data Collection Methodology</title>
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	<h1>Three Stages of Big Data Collection Methodology</h1>
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			<span class="post-date">Mar 11</span>

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				Posted by <a href="/forum/user/1472-ashish-pahwa">Ashish Pahwa</a>				in <a href="/resources/sigmaway-blog/analytics">Analytics</a>			</span>
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	<p>The word Big Data is connected with 4 Vs' Velocity, Volume, Variety, Veracity and each V plays a significant part in the Big Data world. The event that combines all these components, paints a clarified picture of what big data actually means. Big Data management methods adopted by many companies involve various stages: 1. Collecting Data: It includes accumulation of data from various information sources. 2. Store: It includes storing data in the appropriate database framework and server 3. Information Organization: It involves masterminding information on the premise of Organized, unstructured and semi-unstructured data. Read more at : <a title="http://www.bigdatanews.com/profiles/blogs/how-to-collect-big-data-big-data-a-new-digital-trend" href="http://www.bigdatanews.com/profiles/blogs/how-to-collect-big-data-big-data-a-new-digital-trend" target="_blank">http://www.bigdatanews.com/profiles/blogs/how-to-collect-big-data-big-data-a-new-digital-trend</a></p></div>

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		<a href="/blog/tags/big-data-1-2">
		<span itemprop="keywords">Big Data</span>
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		<a href="/blog/tags/collecting-data">
		<span itemprop="keywords">Collecting data</span>
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		<a href="/blog/tags/unstructured-data">
		<span itemprop="keywords">unstructured data</span>
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		<a href="/blog/tags/big-data-management">
		<span itemprop="keywords">Big Data Management</span>
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