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     <h1><a href="index.html"><img src="images/MADlib-logo.png" alt="MADlib" /></a></h1>
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           <p class="big">MADlib is an open-source library for scalable in-database
             analytics. It provides data-parallel implementations of mathematical,
             statistical and machine learning methods for structured and unstructured
             data.</p>
           <p class="big">The MADlib mission: to foster widespread development of
             scalable analytic skills, by harnessing efforts from commercial practice,
             academic research, and open-source development.</p>
           <h2>Status</h2>
           <p>The initial beta of MADlib is currently under active development. Although
             the bulk of the code is standard SQL, some methods use platform-specific
             subroutines to achieve good performance. Initial targets are PostgreSQL and
             Greenplum; ports to other SQL platforms are expected. After the beta release,
             we will invite participation from the broader community through a standard
             open-source contribution submission process.</p>
           <h2>History</h2>
           <p>MADlib grew out of discussions between database engine developers, data
             scientists, IT architects and academics, who were interested in new
             approaches to scalable, sophisticated in-database analytics. These
             discussions were written up in a paper in VLDB 2009 that coined the phrase
             <a href="http://db.cs.berkeley.edu/papers/vldb09-madskills.pdf" target="blank">
             "MAD Skills"</a> for data analysis. The MADlib software project began the
             following year as a collaboration between researchers at
             <a href="http://db.cs.berkeley.edu/" target="blank">UC Berkeley</a> and
             engineers and data scientists at
             <a href="http://www.greenplum.com/" target="blank">EMC/Greenplum.</a></p>
           <h2>Downloads and Source Code</h2>
           <p>Release version available for download in Q1, 2011.<br />
             MADlib source code contributions are hosted on GitHub in
             <a href="http://www.github.com/madlib" target="blank">madlib</a>
             repository.<br />
             Latest pre-release (v0.1alpha) source code can be downloaded using below links:
             </p>
           <ul class="clearfix">
             <li><a href="https://github.com/madlib/madlib/zipball/v0.1alpha"><img src="images/zip-icon.png" alt="zip" /></a></li>
             <li><a href="https://github.com/madlib/madlib/tarball/v0.1alpha"><img src="images/tar-icon.png" alt="tar" /></a></li>
           </ul>
           <h2>Documentation</h2>
           <p>Installation guide is available on the MADlib - Wiki:
             <a href="http://github.com/madlib/madlib/wiki" target="blank">https://github.com/madlib/madlib/wiki</a><br />
             Pre-release documentation of contributed code is being made available on an ongoing basis:<br />
             &nbsp;&nbsp;&nbsp;Users: <a class="space" href="http://doc.madlib.net" target="blank">http://doc.madlib.net</a><br />
             &nbsp;&nbsp;&nbsp;Developers: <a href="http://devdoc.madlib.net" target="blank">http://devdoc.madlib.net</a><br />
           </p>
           <h2>Additional Resources</h2>
           <p>
             Bug reporting and feature requests:
             <a href="http://jira.madlib.net" target="blank">http://jira.madlib.net</a><br />
             Ongoing review of the code contributions:
             <a href="http://codereview.madlib.net" target="blank">http://codereview.madlib.net</a>
           </p>
         </div>
         <div id="footer">Copyright &copy; 2011 UC Regents<a id="fork-me" href="https://github.com/madlib/madlib" target="blank"><img src="images/fork-me.png" alt="fork me on github" /></a> </div>
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	<div id="container">
	<div id="header">
	<h1><a href="index.html"><img src="images/MADlib-logo.png" alt="MADlib" /></a></h1>
	</div>
	<ul id="man-icons">
	<li><a href="#"><img src="images/magnetic-icon.png" alt="Magnetic" /></a></li>
	<li><a href="#"><img src="images/agile-icon.png" alt="Agile" /></a></li>
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	<div id="right-corner"></div>
	<div id="left-corner"></div>
	<div id="text">
	<p class="big">MADlib is an open-source library for scalable in-database
	analytics. It provides data-parallel implementations of mathematical,
	statistical and machine learning methods for structured and unstructured
	data.</p>
	<p class="big">The MADlib mission: to foster widespread development of
	scalable analytic skills, by harnessing efforts from commercial practice,
	academic research, and open-source development.</p>
	<h2>Status</h2>
	<p>The initial beta of MADlib is currently under active development. Although
	the bulk of the code is standard SQL, some methods use platform-specific
	subroutines to achieve good performance. Initial targets are PostgreSQL and
	Greenplum; ports to other SQL platforms are expected. After the beta release,
	we will invite participation from the broader community through a standard
	open-source contribution submission process.</p>
	<h2>History</h2>
	<p>MADlib grew out of discussions between database engine developers, data
	scientists, IT architects and academics, who were interested in new
	approaches to scalable, sophisticated in-database analytics. These
	discussions were written up in a paper in VLDB 2009 that coined the phrase
	<a href="http://db.cs.berkeley.edu/papers/vldb09-madskills.pdf" target="blank">
	"MAD Skills"</a> for data analysis. The MADlib software project began the
	following year as a collaboration between researchers at
	<a href="http://db.cs.berkeley.edu/" target="blank">UC Berkeley</a> and
	engineers and data scientists at
	<a href="http://www.greenplum.com/" target="blank">EMC/Greenplum.</a></p>
	<h2>Downloads and Source Code</h2>
	<p>Release version available for download in Q1, 2011.<br />
	MADlib source code contributions are hosted on GitHub in
	<a href="http://www.github.com/madlib" target="blank">madlib</a>
	repository.<br />
	Latest pre-release (v0.1alpha) source code can be downloaded using below links:
	</p>
	<ul class="clearfix">
	<li><a href="https://github.com/madlib/madlib/zipball/v0.1alpha"><img src="images/zip-icon.png" alt="zip" /></a></li>
	<li><a href="https://github.com/madlib/madlib/tarball/v0.1alpha"><img src="images/tar-icon.png" alt="tar" /></a></li>
	</ul>
	<h2>Documentation</h2>
	<p>Installation guide is available on the MADlib - Wiki:
	<a href="http://github.com/madlib/madlib/wiki" target="blank">https://github.com/madlib/madlib/wiki</a><br />
	Pre-release documentation of contributed code is being made available on an ongoing basis:<br />
	Users: <a class="space" href="http://doc.madlib.net" target="blank">http://doc.madlib.net</a><br />
	Developers: <a href="http://devdoc.madlib.net" target="blank">http://devdoc.madlib.net</a><br />
	</p>
	<h2>Additional Resources</h2>
	<p>
	Bug reporting and feature requests:
	<a href="http://jira.madlib.net" target="blank">http://jira.madlib.net</a><br />
	Ongoing review of the code contributions:
	<a href="http://codereview.madlib.net" target="blank">http://codereview.madlib.net</a>
	</p>
	</div>
	<div id="footer">Copyright © 2011 UC Regents<a id="fork-me" href="https://github.com/madlib/madlib" target="blank"><img src="images/fork-me.png" alt="fork me on github" /></a> </div>
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