CHAPTER 7Characterizing the Workload
Regardless of how amazing a forecast model may be, without quality workload data and an appropriate characterization of the workload, it's totally worthless. That's a pretty strong statement, but it's the truth. Both projects and products fail when the workload is not properly characterized. When raw workload data is transformed into useful information, a model's precision capabilities flourish and the usability of the forecasting system is amazing. A solid and appropriate characterization of the workload is probably the most critical aspect of forecasting.
What brings seasoned capacity planners to their knees? The answer is forecasting Oracle performance. The reason is not because of the mathematics or the ...
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