Correlation is used across many disciplines to identify predictive relationships that can be used in decision support.
Correlating capacity and performance data is an important tool that analysts should be well versed in. Many software applications are available to assist the analyst in finding correlations and identifying the significance of those dependencies.
A classic example is correlating workload volumes to resource consumption when calibrating models. Many types of data can be correlated to gain insight into what drives resource utilization and performance throughout the entire computing environment.
I'll be running a webinar which presents a high-level discussion of using correlation in practice and doesn't attempt a rigorous mathematical explanation of the underlying statistics. A rigorous mathematical review can be found on line at many websites with an academic focus for those readers who are interested.
I'll be reviewing basic concepts of correlation and looking at significance coefficients,
along with limitations of correlation, the types of data to correlate and I'll be showing you some examples.
I intend to give readers a better working knowledge of how correlation can be used in practice to make informed decisions regarding their capacity and performance management.
Join my webinar on July 22, register for your place now.
http://www.metron-athene.com/services/webinars/index.html
Dale Feiste
Principal Consultant
Correlating capacity and performance data is an important tool that analysts should be well versed in. Many software applications are available to assist the analyst in finding correlations and identifying the significance of those dependencies.
A classic example is correlating workload volumes to resource consumption when calibrating models. Many types of data can be correlated to gain insight into what drives resource utilization and performance throughout the entire computing environment.
I'll be running a webinar which presents a high-level discussion of using correlation in practice and doesn't attempt a rigorous mathematical explanation of the underlying statistics. A rigorous mathematical review can be found on line at many websites with an academic focus for those readers who are interested.
I'll be reviewing basic concepts of correlation and looking at significance coefficients,
along with limitations of correlation, the types of data to correlate and I'll be showing you some examples.
I intend to give readers a better working knowledge of how correlation can be used in practice to make informed decisions regarding their capacity and performance management.
Join my webinar on July 22, register for your place now.
http://www.metron-athene.com/services/webinars/index.html
Dale Feiste
Principal Consultant
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