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    <p>AFAIK Google Analytics is derived from Urchin. As it has been said it is possible that since now Analytics is part of the Google family it is using MapReduce/BigTable. I can assume that Google had integrated the old format of Urchin DB with the new BigTable/MapReduce.</p> <p>I found this links which talk about Urchin DB. Probably some of the things are still in use at the moment.</p> <p><a href="http://www.advanced-web-metrics.com/blog/2007/10/16/what-is-urchin/" rel="noreferrer">http://www.advanced-web-metrics.com/blog/2007/10/16/what-is-urchin/</a></p> <p>this says:</p> <blockquote> <p>[snip] ...still use a proprietary database to store reporting data, which makes ad-hoc queries a bit more limited, since you have to use Urchin-developed tools rather than the more flexible SQL tools.</p> </blockquote> <p><a href="http://www.urchinexperts.com/software/faq/#ques45" rel="noreferrer">http://www.urchinexperts.com/software/faq/#ques45</a></p> <blockquote> <p>What type of database does Urchin use?</p> </blockquote> <p>Urchin uses a proprietary flat file database for report data storage. The high-performance database architecture handles very high traffic sites efficiently. Some of the benefits of the data base architecture include:</p> <pre><code>* Small database footprint approximately 5-10% of raw logfile size * Small number of database files required per profile (9 per month of historical reporting) * Support for parallel processing of load-balanced webserver logs for increased performance * Databases are standard files that are easy to back up and restore using native operating system utilitiesv </code></pre> <p>More info about Urchin</p> <p><a href="http://www.google.com/support/urchin45/bin/answer.py?answer=28737" rel="noreferrer">http://www.google.com/support/urchin45/bin/answer.py?answer=28737</a></p> <p>Long time ago I used to have a tracker and on their site they were discussing about data normalization: <a href="http://www.2enetworx.com/dev/articles/statisticus5.asp" rel="noreferrer">http://www.2enetworx.com/dev/articles/statisticus5.asp</a></p> <p>There you can find a bit of info of how to reduce the data in DB and maybe it is a good start in research.</p>
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