MLOps on Databricks: A How-To Guide

[@RedShipsofSpainAgain]

31:56 Part II begins (practical part of the talk)

[@georges7298]

Good session. One thing may need improving is that while showing diagrams, it's hard to read them - if the diagrams can be maximized to full screen, it would be much better

[@HariKrishnaReddy7696]

Thanks a lot for your efforts. Its a great demo

[@adnanakbar2521]

Hi, is the code repository used in this demo publicly available?

[@lindadanlol]

Thank you for sharing this great demo!

[@maazaouiyousri7806]

Thank you for the sharing. How can we get the ppt presentation ?

[@MrBemnet1]

So you wouldn't know how your model is performing on whole dataset until you deploy it to prod?

[@akhilsebastian3804]

Yes. Even I am stuck with the same doubt. The model training should be done on the latest data. It doesn't make sense to retrain model in dev, stage and prod. Also the what is happening with the prediction code?

[@prabhamelady1680]

Its a nice demo

[@mwredfern]

does anyone have a link for this PPT? thanks

[@prpgift3313]

Thank you for making the great demo, so could I have a presentation file of this demo?

[@spillerme]

same question! pls reach me out if you found it thx in advance

[@ZyklonB-88]

yeah wear a mask when doing a presentation...because thats totally normal

[@user-atad]

Seems very complicated tbh

[@brenok]

and what would you do? test in prod? :D

[@faiqkhan7545]

mlops engineer is a senior data role .

[@nitishbajaj1963]

Is there a code repository for this. Please let me know if I could learn from that. If yes, I would dm you my emailid Thanks