Summary

In this chapter, you learned about using external languages in Power BI to integrate advanced analytics and machine learning capabilities directly into SQL Server. External languages allow you to execute Python or R scripts within SQL Server, eliminating the need to transfer data to separate analytics platforms. This provides benefits such as improved data security, faster processing, and easier deployment and integration.

You also learned about the SQL Server Extensibility Framework, which enables the execution of Python or R code using external engines. The framework allows for the execution of scripts in an external runtime environment, facilitating communication between SQL Server and the external languages.

Additionally, you learned about the challenges of managing multiple Python or R environments in SQL Server and the benefits of using external languages in scenarios where Power BI’s default integration may not be suitable due to architectural and security...