/home/leansigm/public_html/components/com_easyblog/services<title>Compressing and Handling Big data</title>
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	<h1>Compressing and Handling Big data</h1>
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			<span class="post-date">May 27</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>In the age of Big Data, the data tables are going to grow enormously in size. Millions of rows of data will be obtained. Computational techniques available now will no longer be efficient in analyzing and interpreting the data. Enter this June; MIT researchers will present a new algorithm that will reduce the size of the data tables by leaving out bunch of rows. The data/rows remaining will be the representative ones of the total data. This is called condensed data/matrix of original data/matrix. To know more about how to handle Big Data, follow:<a href="https://newsoffice.mit.edu/2015/algorithm-shrinks-big-data-0520" target="_blank">https://newsoffice.mit.edu/2015/algorithm-shrinks-big-data-0520</a></p></div>

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		<a href="/blog/tags/condensed-data">
		<span itemprop="keywords">Condensed Data</span>
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		<a href="/blog/tags/big-data-1-2">
		<span itemprop="keywords">Big Data</span>
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		<span itemprop="keywords">ACM Symposium</span>
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