/home/leansigm/public_html/components/com_easyblog/services<title>Keeping up with Big Data</title>
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	<h1>Keeping up with Big Data</h1>
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			<span class="post-date">Jul 06</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><span style="font-family: Calibri, sans-serif; font-size: 14.6666669845581px;">Big Data’s prospects are tremendous and will keep growing but only if we can keep up with it. Bangalore now monitors traffic in real time. It is only then that Data Analytics steps in, helping take calculated decisions for the strategic spots for sign boards and road markings. Thereby reducing congestion and allowing safer travel. We see how crucial the hardware, software, networking and data center are in the analysis of such data. Analytical data mining seems to be the majority of the effort now. Smarter data centers, networking practices and rapid storage technologies will be the start of a cycle of innovation that may be a few decade long. Ironically enough, in-depth analytics generates data that has greater need for computation and large storage systems that will allow rapid testing and deployment. Read more at:&nbsp;</span><a href="http://www.firstpost.com/business/big-data-paradox-2323460.html" target="_blank" style="color: purple; font-size: 14.6666669845581px; font-family: Calibri, sans-serif;">http://www.firstpost.com/business/big-data-paradox-2323460.html</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/analytics">
		<span itemprop="keywords">analytics</span>
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		<a href="/blog/tags/rapid-deployment">
		<span itemprop="keywords">Rapid Deployment</span>
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		<a href="/blog/tags/faster-computation">
		<span itemprop="keywords">Faster Computation</span>
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		<a href="/blog/tags/storage">
		<span itemprop="keywords">storage</span>
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