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. Join us on Tuesday, October 7 at 2 PM EDT (6 PM GMT) as 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 will include 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.
Please register here, and we will send you an invite and link to the event.
If you cannot attend, we will send you a link to the recording.