geospatial data

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New Contributor

Hi

I have application written by third party with geospatial data and I need to rearchitect it with scale on azure. This one written with GeoPandas and Dask in python. For full data run more than 10 hours for around 100 cpu box. I like to rearchitect in PaaS . What are best option for me. I know batch is one option. What other options I can have to make it autoscalable .

I read somewhere Dask with kubernetes cluster so it could be AKS is that will be option too?

Did any body try it ,like to know challenges ?  

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