Connecting to MS SQL
Data Science & AI Workbench enables you to easily connect to an Microsoft SQL server database, to access the data stored in it.
Before you can do so, however, you’ll need to install the pymssql
conda package which contains a simple database interface for Python to work with MS SQL Server:
Note
Any packages you install from the command line are available during the current session only. If you want them to persist, add them to the project’s anaconda-project.yml
file. For more information, see Project configurations.
If you require a trusted connection, see the instructions for connecting to MS SQL using Kerberos authentication.
You can then use code such as this to connect to the MS SQL database from within a notebook session:
See Secrets for information about adding credentials to the platform, to make them available in your projects. Any secrets you add will be available across all sessions and deployments associated with your user account.
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