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<p class="MsoNormal"><b><span style="font-size:12.0pt;color:black">From: </span></b><span style="font-size:12.0pt;color:black">Science Research Public Lecture Series <science_lectures=fas.harvard.edu@mail28.atl111.rsgsv.net> on behalf of Science Research Public
Lecture Series <science_lectures@fas.harvard.edu><br>
<b>Reply-To: </b>Science Research Public Lecture Series <science_lectures@fas.harvard.edu><br>
<b>Date: </b>Thursday, October 12, 2017 at 12:34 PM<br>
<b>Subject: </b>Jelani Nelson - Sketching Big Data - Wed., October 25th at 7pm, Science Research Public Lecture - Harvard Science Center, Hall C, One Oxford St.<o:p></o:p></span></p>
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<span style="font-size:13.5pt;font-family:"Century Gothic",serif;color:#245B84">Science Research </span><span style="font-size:13.5pt;font-family:"Century Gothic",serif;color:#3171A1">Public </span><span style="font-size:13.5pt;font-family:"Century Gothic",serif;color:#245B84">Lecture </span><span style="font-size:12.5pt;font-family:"Century Gothic",serif;color:#245B84"><br>
<o:p></o:p></span></p>
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<span style="font-size:24.0pt;font-family:"Century Gothic",serif;color:#B62F3E">Wednesday, October 25 @ 7:00pm</span><span style="font-size:20.5pt;font-family:"Century Gothic",serif;color:#4CB85A"><o:p></o:p></span></p>
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<span style="font-size:13.5pt;font-family:"Century Gothic",serif;color:#245B84">Harvard University, Science Center Hall C<br>
One Oxford Street, Cambridge, MA</span><span style="font-size:12.0pt;font-family:"Century Gothic",serif;color:#202020"><o:p></o:p></span></p>
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<span style="font-size:25.0pt;font-family:"Century Gothic",serif;color:#B62F3E">Sketching Big Data</span><span style="font-size:12.0pt;font-family:"Century Gothic",serif;color:#245B84"><o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#202020"><br>
</span><span style="font-size:22.5pt;font-family:"Century Gothic",serif;color:#245B84">Jelani Nelson</span><span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#202020"><br>
</span><span style="font-size:10.5pt;font-family:"Century Gothic",serif;color:#245B84">Associate Professor of Computer Science</span><span style="font-size:10.5pt;font-family:"Helvetica",sans-serif;color:#202020"><br>
</span><span style="font-size:10.5pt;font-family:"Century Gothic",serif;color:#245B84">John A. Paulson School of Engineering and Applied Science<br>
Harvard University</span><span style="font-size:12.0pt;font-family:"Helvetica",sans-serif;color:#202020"><o:p></o:p></span></p>
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<p class="MsoNormal" style="line-height:150%"><span style="font-size:9.0pt;line-height:150%;font-family:"Arial",sans-serif;color:#202020">A "sketch" is a data structure supporting some pre-specified set of queries and updates to a database while consuming space
substantially (often exponentially) less than the information theoretic minimum required to store everything seen, and thus can also be seen as some form of functional compression. The advantages of sketching include less memory consumption, faster algorithms,
and reduced bandwidth requirements in distributed computing environments.<br>
<br>
This talk will touch on some of the magic made possible by sketching techniques, such as:<br>
<br>
* (Approximately) counting up to an integer N in exponentially less memory than what's required to actually write the digits of N down.<br>
<br>
* (Approximately) computing the number of distinct words ever appearing in any of Shakespeare's works, via a method that reads through them all once while only remembering 3 lines' worth of text in memory at any given time.<br>
<br>
* Detecting trending keywords queried to a search engine, such as 'bigly', or 'Irma', while never remembering more than a negligible fraction of the query stream seen thus far.</span><span style="font-size:12.0pt;line-height:150%;font-family:"Helvetica",sans-serif;color:#202020"><o:p></o:p></span></p>
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