Predictions involve spotting any unplanned and unwanted activities or unusual system behavior, especially when compared it to the baseline. In this manner, raising a red flag would result in fewer false positive states.
In addition, we always come across disk-size problems. Based on this problem, we will demo database growth, store the data, and then run predictions against the collected data to be able at the end to predict when a DBA can expect disk space problems.
To illustrate this scenario, I will create a small database of 8 MB and no possibility of growth. I will create two tables. One will serve as a baseline, DataPack_Info_SMALL, and the other will serve as a so-called everyday log, where everything will be stored for unexpected cases or undesired behavior. This will persist in the DataPack_Info_LARGE table.
First, create a database...
