But it was SQL Server’s new machine learning tools that grabbed my attention. Machine learning remains one of Microsoft’s big themes for 2017, and it’s an important segment of SQL Server 2017.

Microsoft SQL Server Machine Learning Services supports R, Python, Java, the PREDICT T-SQL command, and the rx_Predict stored procedure in the SQL Server RDBMS, and SparkML in SQL Server Big Data ...

Although SQL Server 2017 was the first variant to be brought to Linux, the family of operating systems now support the installation of as Machine Learning Services as well.

Leveraging SQL Server Machine Learning Services (R and Python) for Data Insights SQL Server Machine Learning Services (MLS) has enabled Nithin to run advanced analytics directly within the database.

The enhanced feature, now dubbed SQL Server Machine Learning Services (ML Services), allows code in either language to execute natively on the SQL Server itself.

This limitation also applies to SQL Server Machine Learning Services in R and Python. Announcing SQL Server Diagnostic Extensions for SSMS SQL Server creates stack dumps when there are very serious ...

Users will have access to SQL Server Machine Learning Services and Spark Machine Learning, so they'll get insights on all of their data, again, regardless of what form that data comes in.

All of the aforementioned services should already be controlled, but locking them down further is always a best practice. You can see the current Microsoft guidance for SQL Server in this KB article.