At VividCortex, we use statistical techniques to infer the relationship between a statement's execution and work that cannot be measured inside the server. For example, executing a multiple linear regression over a million samples of 500,000 independent variables is not feasible, and won't produce good results even if it does run to completion.
A much higher-performance algorithm is necessary. In this webinar, Baron Schwartz, our CEO and Founder, discusses the following:
* Statistical background for the algorithm
* The classic solutions (including standard regression and its variations), and why they don't work well
* Exactly how the technique works
The knowledge gained will help you avoid measuring things that are intrusive or expensive and know things that you cannot directly measure.
This session includes some math, but do not be intimidated, as Baron is great at explaining the details. Best of all, a white paper and supporting source code and sample data files will be available for reproducing and studying the technique and its results.
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