You need to find the largest distance between any two clinics using map locations. How do you accomplish this?

To find the largest distance between any two clinics using map locations, employing a spatial join is the most effective approach. Spatial joins are designed to combine spatial data based on the geographical location of the entities involved. In this scenario, the clinics' locations can be represented by their geographic coordinates (latitude and longitude), and the spatial join can calculate the distance between each pair of clinics based on these coordinates.

The spatial join allows for the aggregation of distance data across all pairs, enabling the identification of the maximum distance between any two specified locations—in this case, clinics. This method leverages the spatial functions inherent in SAP HANA, which can handle geographic data types and distance computations efficiently, making it the apt choice for the task.

In contrast, a temporal join is focused on combining time-based data rather than spatial data, which is not relevant in this scenario. A dynamic join generally pertains to changing datasets where relationships may be recalculated, and it doesn’t specifically address distance measurement effectively. Using a union with constant values would not provide any meaningful calculation of distances and is not suited for this purpose. Hence, the spatial join is the correct method for calculating the largest distance between clinics based on their geographic locations.