Some course highlights that you missed:
- How to apply PCA tools in R to performance data
- An introduction to power-law data modeling. Case studies included: network packet traces, detecting disaster recovery onset, Oracle SQL query-time distributions.
- How to use heatmaps and treemaps in R to visualize the performance and capacity of kilo-servers in your data center
- The use of animation and video for performance visualization tools
- How to apply Machine Learning tools in R to cubic light-years of performance data
- How to debug your R scripts
- Jim Holtman may have helped me to resolve a bug in PDQ-R that causes the R Console to crash. If so, PDQ-R could soon be ready for CRAN time.
Hi Neil, when can we expect on-line classes? What would you need to have available in an online tool, to make it happen? I am even willing to help there.
ReplyDeleteAlex from Finland.
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ReplyDeleteThanks for your offer of help but I would look outside your widow and check to see if global warming is under control. An online version of GDAT will surely follow hot on the heels of that event. :)
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