We can leverage the existing GitLab autoscaling infrastructure to allow the user to specify a series of data manipulation tasks to be performed on a dataset on a separate server and have the new version stored in Azure. Such as using the stopword filtering, stemming, etc. functionality provided by MeTaPy.
We can leverage the existing GitLab autoscaling infrastructure to allow the user to specify a series of data manipulation tasks to be performed on a dataset on a separate server and have the new version stored in Azure. Such as using the stopword filtering, stemming, etc. functionality provided by MeTaPy.