/home/leansigm/public_html/components/com_easyblog/services<title>Understanding big data using graphs</title>
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	<h1>Understanding big data using graphs</h1>
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			<span class="post-date">Jun 19</span>

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				Posted by <a href="/forum/user/431-nitin-sinha">Nitin Sinha</a>				in <a href="/resources/sigmaway-blog/analytics">Analytics</a>			</span>
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	<p>Big data can be best understood using graph theory. Several open-source graph databases have come up and are used by several organizations. These databases are becoming popular as graphs are the best way for storing and querying huge amount of data. Graphs are being used by several domains of the industry as it provides competitive advantage. Social media uses graphs to provide accurate and personal recommendations to users. It is being used by a major online shopping company to compute fast and provide localized door-to-door delivery of goods. Graph databases store data safely and make querying it fast and easy. According to Dr. Marsten, creating and analyzing graphs will lead us to answers. Read more at:&nbsp;<a href="https://channels.theinnovationenterprise.com/articles/7132-the-key-to-understanding-big-data-lies-with-the-graph" target="_blank" style="font-family: Calibri, sans-serif; font-size: 11pt; line-height: 115%;">https://channels.theinnovationenterprise.com/articles/7132-the-key-to-understanding-big-data-lies-with-the-graph</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/graph-theory">
		<span itemprop="keywords">graph theory</span>
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		<a href="/blog/tags/graph-databases">
		<span itemprop="keywords">Graph databases</span>
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