Summary
In this chapter, you covered some of the types of issues that are common when integrating Python or R scripts into Power BI.
In particular, you learned how to avoid the indecipherable ADO.NET error that can occur when you use Power BI with a conda environment that is not properly enabled. You learned about the different levels of privacy that are managed in Power BI and how to resolve incompatibility issues between them that are caused by the Formula Firewall. You also learned new techniques for referencing more than one dataset in a Python or R script, even though the step stack in which the script is inserted references only one dataset. Finally, you learned how to properly handle data types for date and time fields in step scripts in Python and R.
In the next chapter, you’ll start working with Python and R scripts in Power BI to perform data ingestion and import data sources that Power BI doesn’t handle by default.
