Db2 and the masters of time

Most of the data we work with is time dependent and we need to go beyond past and present data for better reporting. In this presentation, we'll learn about Time Series Analysis using Python open libraries using Db2 monitor data to explore on common questions we're often required to report.

 

From Db2 daily reports to app performance meetings, most of the data we work with is time sensitive. We're often being asked what's going to happen next and when, and that's when we need to extrapolate from our Db2 data to get insights and go beyond our monitor data. In this presentation, we’ll look into a few Statistical and Machine Learning concepts applied to Time Series Analysis with Python open libraries that can be quickly used to provide meaningful insight in Db2 monitoring. This presentation will also be focused on how the use of techniques like this can bring additional value to the DBA departments.