The instance on the data science VM is licensed for development purposes only. For a production system serving millions of users, you can use SQL Server 2016 but you will need to run on separate servers (sufficiently scaled up) and either bring your
SQL Server license or use a SQL Server VM that is licensed for production purposes like the one here below:
The instance on the data science VM is licensed for development purposes only. For a production system serving millions of users, you can use SQL Server 2016 but you will need to run on separate servers (sufficiently scaled up) and either bring your
SQL Server license or use a SQL Server VM that is licensed for production purposes like the one here below:
I know this is a year further on down the line, hoping you are still around. Do you perhaps know how the the distinction between production and development is made?
If a data scientist is using the SQL server to support a small team (say 5 data scientists) using the data for 'development' of a predictive model that will be used in production eventually. Is this development or production? They are all sharing one instance
of the data on one of the VMs but each has their own VM instance for modelling.