General data preparation considerations
In this section, we'll provide more standard best practices for data preparation in Power Query. By following best practices, we are guaranteed to avoid issues down the road that are hard to identify and hence expensive to rectify.
Consider loading a proportion of data while connected to the OData data source
The Open Data Protocol (OData) was invented initially by Microsoft and is a commonly accepted method for creating and consuming REST APIs, and many systems are accessible via OData. When loading data via an OData connection into Power BI, it is essential to pay extra attention to the amount of data being loaded through the OData connection. In many cases, the underlying data model has wide tables with many columns containing metadata that is not necessarily needed.
A general rule of thumb with all kinds of data sources is only to keep relevant columns during data preparation. We need to pay even more attention to it when we...