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<!DOCTYPE html>
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<title>Data-Intensive Computing with MapReduce</title>
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<li><a href="overview.html">Overview</a></li>
<li class="active"><a href="syllabus.html">Syllabus</a></li>
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<h1>Syllabus <small>Data-Intensive Computing with MapReduce (Spring 2013)</small></h1>
</div>
<section id="schedule">
<div>
<h3>Schedule of Classes</h3>
<table class="table table-striped table-condensed">
<thead>
<tr><td><b>Session</b></td>
<td><b>Date</b></td>
<td><b>Topic</b></td>
<td><b>Assignment due</b></td></tr>
</thead>
<tbody>
<tr><td>1</td><td>January 24</td><td><a href="#session1">Introduction to MapReduce</a></td>
<td><a href="assignments.html#assignment0">Assignment #0: Prelude</a></td></tr>
<tr><td>2</td><td>January 31</td><td><a href="#session2">Hadoop Nuts and Bolts</a></td>
<td><a href="assignments.html#assignment1">Assignment #1: Warmup</a></td></tr>
<tr><td>3</td><td>February 7</td><td><a href="#session3">Basic Algorithm Design</a></td><td></td></tr>
<tr><td>4</td><td>February 14</td><td><a href="#session4">Language Models and Inverted Indexing</a></td>
<td><a href="assignments.html#assignment2">Assignment #2: Counting</a></td></tr>
<tr><td>5</td><td>February 21</td><td><a href="#session5">Graph Processing</a></td><td></td></tr>
<tr><td>6</td><td>February 28</td><td><a href="#session6">Similar Item Detection</a></td>
<td><a href="assignments.html#assignment3">Assignment #3: Inverted Indexing</a></td></tr>
<tr><td>7</td><td>March 7</td><td><a href="#session7">Clustering and Classification</a></td><td></td></tr>
<tr><td>8</td><td>March 14</td><td><a href="#session8">Sequence Labeling</a></td>
<td><a href="assignments.html#assignment4">Assignment #4: Graphs</a></td></tr>
<tr><td colspan="4">Spring Break</td></tr>
<tr><td>9</td><td>March 28</td><td><a href="#session9">Midterm</a></td><td></td></tr>
<tr><td>10</td><td>April 4</td><td><a href="#session10">Data Warehousing</a></td>
<td><a href="assignments.html#assignment5">Assignment #5: Project Proposal</a></td></tr>
<tr><td>11</td><td>April 11</td><td><a href="#session11">Beyond MapReduce</a></td><td></td></tr>
<tr><td>12</td><td>April 18</td><td><a href="#session12">NoSQL</a></td>
<td><a href="assignments.html#assignment6">Assignment #6: Data Analytics</a></td></tr>
<tr><td>13</td><td>April 25</td><td><a href="#session13">Production Workflows</a></td><td></td></tr>
<tr><td>14</td><td>May 2</td><td>Project Presentations I</td>
<td><a href="assignments.html#finalproject">Final Project</a></td></tr>
<tr><td>15</td><td>May 9</td><td>Project Presentations II</td>
<td><a href="assignments.html#finalproject">Final Project</a></td></tr>
<tr><td>16</td><td>May 16</td><td>Final Exam</td><td></td></tr>
</tbody>
</table>
</div>
</section>
<section id="session1" style="padding-top:35px">
<div>
<h3>Session 1: Introduction to MapReduce <small>January 24</small></h3>
<h4>Readings <small>(to be completed before class)</small></h4>
<ul>
<li><a href="http://lintool.github.com/MapReduceAlgorithms/ed1n/MapReduce-algorithms.pdf">Data-Intensive Text Processing with MapReduce</a>
<ul>
<li>Chapter 1: Introduction</li>
<li>Chapter 2: MapReduce Basics</li>
</ul>
</li>
<li>Hadoop: The Definitive Guide (3rd Edition):
<ul>
<li>Chapter 1: Meet Hadoop</li>
<li>Chapter 2: MapReduce (Skip sections on "Hadoop Streaming"
and "Hadoop Pipes".)</li>
<li>Chapter 3: The Hadoop Distributed File System (Focus on the
mechanics of the HDFS commands and don't worry so much about
learning the Java API all at once—you'll pick it up in
time. Stop when you get to the section on "Data Ingest with
Flume and Sqoop".)</li>
</ul>
<li>Ghemawat et al. (2003) <a href="material/Ghemawat_etal_SOSP2003.pdf">The Google File System.</a> <i>SOSP</i>.</li>
<li>Dean and Ghemawat. (2004) <a href="material/Dean_Ghemawat_OSDI2004.pdf">MapReduce: Simplified Data Processing on Large Clusters.</a> <i>OSDI</i>.</li>
</ul>
<p style="padding-top: 5px"/>
<h4>Slides</h4>
<p><a href="slides/session01.pptx" class="btn btn-small btn-primary" style="width: 75px">PPTX (Mac)</a>
<a href="slides/session01.pdf" class="btn btn-small btn-info" style="width: 75px">PDF</a>
</p>
<p style="padding-top: 20px"><a href="#">Back to top</a></p>
</div>
</section>
<section id="session2" style="padding-top:35px">
<div>
<h3>Session 2: Hadoop Nuts and Bolts <small>January 31</small></h3>
<h4>Readings <small>(to be completed before class)</small></h4>
<ul>
<li>Hadoop: The Definitive Guide (3rd Edition):
<ul>
<li>Chapter 4: Hadoop I/O (Read section on "Serialization",
pages 93—108 and section on "File-Based Data Structures",
pages 130—142)</li>
<li>Chapter 5: Developing a MapReduce Application (Skip sections
on "Writing a Unit Test with MRUnit" and "Apache Oozie")</li>
<li>Chapter 6: How MapReduce Works (Skip section on
"Configuration Tuning")</li>
<li>Chapter 7: MapReduce Types and Formats</li>
<li>Chapter 8: MapReduce Features (Read sections on "Counters"
and "Side Data distribution")</li>
</ul>
</ul>
<p style="padding-top: 5px"/>
<h4>Slides</h4>
<p><a href="slides/session02.pptx" class="btn btn-small btn-primary" style="width: 75px">PPTX (Mac)</a>
<a href="slides/session02.pdf" class="btn btn-small btn-info" style="width: 75px">PDF</a>
</p>
<p style="padding-top: 20px"><a href="#">Back to top</a></p>
</div>
</section>
<section id="session3" style="padding-top:35px">
<div>
<h3>Session 3: Basic Algorithm Design <small>February 7</small></h3>
<h4>Readings <small>(to be completed before class)</small></h4>
<ul>
<li><a href="http://lintool.github.com/MapReduceAlgorithms/ed1n/MapReduce-algorithms.pdf">Data-Intensive Text Processing with MapReduce</a>
<ul>
<li>Chapter 3: MapReduce Algorithm Design</li>
</ul>
</li>
<li>Hadoop: The Definitive Guide (3rd Edition):
<ul>
<li>Chapter 8: MapReduce Features (Read section on "Sorting")</li>
</ul>
<li>Ullman. (2012) <a href="material/Ullman_2012.pdf">Designing Good Mapreduce Algorithms.</a> <i>Crossroads</i>.</li>
</ul>
<p style="padding-top: 5px"/>
<h4>Slides</h4>
<p><a href="slides/session03.pptx" class="btn btn-small btn-primary" style="width: 75px">PPTX (Mac)</a>
<a href="slides/session03.pdf" class="btn btn-small btn-info" style="width: 75px">PDF</a>
</p>
<p style="padding-top: 20px"><a href="#">Back to top</a></p>
</div>
</section>
<section id="session4" style="padding-top:35px">
<div>
<h3>Session 4: Language Models and Inverted Indexing <small>February 14</small></h3>
<h4>Readings <small>(to be completed before class)</small></h4>
<ul>
<li><a href="http://lintool.github.com/MapReduceAlgorithms/ed1n/MapReduce-algorithms.pdf">Data-Intensive Text Processing with MapReduce</a>:
Chapter 4: Inverted Indexing for Text Retrieval</li>
<li>Brants et al. (2007) <a href="http://acl.ldc.upenn.edu/D/D07/D07-1090.pdf">Large Language Models in Machine Translation.</a> <i>EMNLP</i>.</li>
</ul>
<p style="padding-top: 5px"/>
<h4>Slides</h4>
<p><a href="slides/session04.pptx" class="btn btn-small btn-primary" style="width: 75px">PPTX (Mac)</a>
<a href="slides/session04.pdf" class="btn btn-small btn-info" style="width: 75px">PDF</a>
</p>
<p style="padding-top: 20px"><a href="#">Back to top</a></p>
</div>
</section>
<section id="session5" style="padding-top:35px">
<div>
<h3>Session 5: Graph Processing <small>February 21</small></h3>
<h4>Readings <small>(to be completed before class)</small></h4>
<ul>
<li><a href="http://lintool.github.com/MapReduceAlgorithms/ed1n/MapReduce-algorithms.pdf">Data-Intensive Text Processing with MapReduce</a>:
Chapter 5: Graph Algorithms</li>
<li>Cohen. (2009) <a href="material/Cohen_2009.pdf">Graph Twiddling in a MapReduce World.</a> <i>Computing in Science and Engineering</i>.</li>
<li>Lin and Schatz. (2010) <a href="material/Lin_Schatz_MLG2010.pdf">Design Patterns for Efficient Graph Algorithms in MapReduce.</a> <i>MLG</i>.</li>
</li>
</ul>
<p style="padding-top: 5px"/>
<h4>Slides</h4>
<p><a href="slides/session05.pptx" class="btn btn-small btn-primary" style="width: 75px">PPTX (Mac)</a>
<a href="slides/session05.pdf" class="btn btn-small btn-info" style="width: 75px">PDF</a>
</p>
<p style="padding-top: 20px"><a href="#">Back to top</a></p>
</div>
</section>
<section id="session6" style="padding-top:35px">
<div>
<h3>Session 6: Similar Item Detection <small>February 28</small></h3>
<h4>Readings <small>(to be completed before class)</small></h4>
<ul>
<li>Ture et al. (2011) <a href="material/Ture_etal_SIGIR2011.pdf">No Free Lunch: Brute Force vs. Locality-Sensitive Hashing for Cross-lingual Pairwise Similarity.</a> <i>SIGIR</i>.</li>
<li>Chapter 3, <a href="http://infolab.stanford.edu/~ullman/mmds/ch3.pdf">"Finding Similar Items"</a> of <a href="http://infolab.stanford.edu/~ullman/mmds.html">Mining of Massive Datasets</a> by Rajaraman, Ullman, and Leskovec.</li>
</ul>
<p style="padding-top: 5px"/>
<h4>Slides</h4>
<p><a href="slides/session06.pptx" class="btn btn-small btn-primary" style="width: 75px">PPTX (Mac)</a>
<a href="slides/session06.pdf" class="btn btn-small btn-info" style="width: 75px">PDF</a>
</p>
<p style="padding-top: 20px"><a href="#">Back to top</a></p>
</div>
</section>
<section id="session7" style="padding-top:35px">
<div>
<h3>Session 7: Clustering and Classification <small>March 7</small></h3>
<h4>Readings <small>(to be completed before class)</small></h4>
<ul>
<li>Chu et al. (2006) <a href="material/ChuCT_etal_2006.pdf"> Map-Reduce for Machine Learning on Multicore.</a> <i>NIPS</i>.</li>
</ul>
<p style="padding-top: 5px"/>
<h4>Slides</h4>
<p><a href="slides/session07.pptx" class="btn btn-small btn-primary" style="width: 75px">PPTX (Mac)</a>
<a href="slides/session07.pdf" class="btn btn-small btn-info" style="width: 75px">PDF</a>
</p>
<p style="padding-top: 20px"><a href="#">Back to top</a></p>
</div>
</section>
<section id="session8" style="padding-top:35px">
<div>
<h3>Session 8: Sequence Labeling <small>March 14</small></h3>
<h4>Readings <small>(to be completed before class)</small></h4>
<ul>
<li><a href="http://lintool.github.com/MapReduceAlgorithms/ed1n/MapReduce-algorithms.pdf">Data-Intensive Text Processing with MapReduce</a>:
Chapter 7: EM Algorithms for Text Processing</li>
</ul>
<p style="padding-top: 5px"/>
<h4>Slides</h4>
<p><a href="slides/session08.pptx" class="btn btn-small btn-primary" style="width: 75px">PPTX (Mac)</a>
<a href="slides/session08.pdf" class="btn btn-small btn-info" style="width: 75px">PDF</a>
</p>
<p style="padding-top: 20px"><a href="#">Back to top</a></p>
</div>
</section>
<section id="session9" style="padding-top:35px">
<div>
<h3>Session 9: Midterm <small>March 28</small></h3>
<p style="padding-top: 20px"><a href="#">Back to top</a></p>
</div>
</section>
<section id="session10" style="padding-top:35px">
<div>
<h3>Session 10: Data Warehousing <small>April 4</small></h3>
<h4>Readings <small>(to be completed before class)</small></h4>
<ul>
<li><a href="http://lintool.github.com/MapReduceAlgorithms/ed1n/MapReduce-algorithms.pdf">Data-Intensive Text Processing with MapReduce</a>:
Chapter 6: Processing Relational Data</li>
<li><a href="http://homes.cs.washington.edu/~billhowe/mapreduce_a_major_step_backwards.html">MapReduce: A major step backwards</a></li>
<li>Stonebraker et al. (2010) <a href="material/Stonebraker_etal_CACM2010.pdf">MapReduce and Parallel DBMSs: Friends or Foes?</a> <i>Communications of the ACM</i>, 53(1):64-71.</li>
<li>Dean and Ghemawat. (2010) <a href="material/Dean_Ghemawat_CACM2010.pdf ">MapReduce: A Flexible Data Processing Tool</a> <i>Communications of the ACM</i>, 53(1):72-77.</li>
</ul>
<p style="padding-top: 5px"/>
<h4>Slides</h4>
<p><a href="slides/session10.pptx" class="btn btn-small btn-primary" style="width: 75px">PPTX (Mac)</a>
<a href="slides/session10.pdf" class="btn btn-small btn-info" style="width: 75px">PDF</a>
</p>
<p style="padding-top: 20px"><a href="#">Back to top</a></p>
</div>
</section>
<section id="session11" style="padding-top:35px">
<div>
<h3>Session 11: Beyond MapReduce <small>April 11</small></h3>
<h4>Readings <small>(to be completed before class)</small></h4>
<ul>
<li>Olston et al. (2008) <a href="material/Olston_etal_SIGMOD2008.pdf">Pig Latin: A Not-So-Foreign Language for Data Processing.</a> <i>SIGMOD</i>.</li>
</ul>
<p style="padding-top: 5px"/>
<h4>Slides</h4>
<p><a href="slides/session11.pptx" class="btn btn-small btn-primary" style="width: 75px">PPTX (Mac)</a>
<a href="slides/session11.pdf" class="btn btn-small btn-info" style="width: 75px">PDF</a>
</p>
<p style="padding-top: 20px"><a href="#">Back to top</a></p>
</div>
</section>
<section id="session12" style="padding-top:35px">
<div>
<h3>Session 12: NoSQL <small>April 18</small></h3>
<h4>Readings <small>(to be completed before class)</small></h4>
<ul>
<li>Chang et al. (2006) <a href="material/ChangFay_etal_OSDI2006.pdf">Bigtable: A Distributed Storage System for Structured Data.</a> <i>OSDI</i>.</li>
</ul>
<p style="padding-top: 5px"/>
<h4>Slides</h4>
<p><a href="slides/session12.pptx" class="btn btn-small btn-primary" style="width: 75px">PPTX (Mac)</a>
<a href="slides/session12.pdf" class="btn btn-small btn-info" style="width: 75px">PDF</a>
</p>
<p style="padding-top: 20px"><a href="#">Back to top</a></p>
</div>
</section>
<section id="session13" style="padding-top:35px">
<div>
<h3>Session 13: Production Workflows <small>April 25</small></h3>
<h4>Readings <small>(to be completed before class)</small></h4>
<ul>
<li>Lin and Ryaboy. (2012) <a href="material/Lin_Ryaboy_2012.pdf">Scaling Big Data Mining Infrastructure: The Twitter Experience</a>, <i>SIGKDD Explorations</i>, 14(2):6-19.</li>
</ul>
<p style="padding-top: 20px"><a href="#">Back to top</a></p>
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