Introducing SQL Server Machine Learning Services
SQL Server Machine Learning Services is an in-database technology that enables advanced analytics and machine learning directly in Microsoft SQL Server. By integrating advanced algorithms and machine learning models into SQL Server, users can process and analyze large volumes of data without having to move it to a separate analytics platform.
Prior to the introduction of Machine Learning Services, the only way to integrate external data processing via Python or R into a transformation pipeline was to run external code that would read the data from the SQL Server instance via open database connectivity (ODBC) and then write the output to a staging table in case the processed data was needed for further processing in SQL Server. An example of a framework that arose to integrate processing done with R and SQL Server before the advent of Machine Learning Services is the one developed by Tomaz Kastrun, which is available at this link...
