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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> |
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| <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> |
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| <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></p> |
| <p>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></p> |
| <p>Ongoing code review for contributions: |
| <a href="http://codereview.madlib.net">http://codereview.madlib.net</a></p> |
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| <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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