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<h1>Working with Big Data: Infrastructure, Algorithms, and Visualizations</h1>
<p>Slides, code, and supplemental materials for the LiveLessons</p>
<p class="view"><a href="">View the Project on GitHub <small>pauldix/working-with-big-data</small></a></p>
<li><a href="">Download <strong>ZIP File</strong></a></li>
<li><a href="">Download <strong>TAR Ball</strong></a></li>
<li><a href="">View On <strong>GitHub</strong></a></li>
<p>This site goes with the Addison Wesley LiveLessons: Working with Big Data: Infrastructure, Algorithms, and Visualizations available on <a href="">Safari Online</a></p>
<h3>Table of Contents</h3>
The goal of these live lessons is to touch on the various aspects of big data at a high level. For instance, instead of going into
detail on the many nuances of Hadoop, we'll just get it set up and use it in conjunction with other tools like Cassandra. Further,
we'll go into the algorithms for processing and close out with tools for visualization. We'll be going through the full-stack instead of
deep on a specific area.
<a href="lesson1.html">Lesson 1: Introduction to Big Data</a>
Lesson 2: Building a Big Data Infrastructure Part 1: Storage
<li>Set up Hadoop</li>
<li>Load data into Hadoop</li>
<li>Create a MapReduce job</li>
<li>Set up Cassandra</li>
<li>Model data in Cassandra</li>
<li>Run Hadoop with Cassandra</li>
<li>Use Cassandra and SQL together</li>
Lesson 3: Building a Big Data Infrastructure Part 2: Processing and Messaging
Lesson 4: Algorithms Part 1: Batch
Lesson 5: Algorithms Part 2: Online
Lesson 6: Visualizations
<h3>Authors and Contributors</h3>
<p>Paul Dix (<a href="" class="user-mention">@pauldix</a>)</p>
<p>Ask questions about the lectures, or about anything big data related on in the <a href="!forum/working-with-big-data">Working with Big Data Group</a>.</p>
<p>Project maintained by <a href="">pauldix</a></p>
<p>Hosted on GitHub Pages &mdash; Theme by <a href="">orderedlist</a></p>
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