Optimizing long batch processes or ETL by using buff/cache properly

During the COVID-19 I have invested some of the “free time” given by the lock down to refresh some old topics like capacity planning and command line optimizations.

I got my LPIC-3 in 2011 and while studying for the previous LPIC-2 two of the topics were Capacity Planning and Predict Future Resource Needs. To refresh the knowledge I recently took Matthew Pearson’s Linux Capacity Planning course from LinuxAcademy

My interest in Data Science and Business Intelligence started with a course I took where the main tool used was Pentaho mostly PDI (aka Kettle) for ETL jobs and Report Designer for reports automation. Then I continued with Waikato’s university WEKA courses and this path drove me to read Jeroen JanssensData Science at the Command Line book which I have recently re -read too. In this book Jeroen’s uses GNU parallel a tool I have already written about in my A Quick and Neat 🙂 Orchestrator using GNU Parallel post

Why are Linux Capacity, ETL, command line and parallelization of jobs related you might wonder. Let’s dig into it

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