Reducing your application complexity by using Azure SQL database views
Performance is one of the main objectives of almost all data source engines. Database developers tweak the innards of their core systems to make them as efficient as possible while also adding new features for app makers. Knowing this, why not leverage the efficiency of these platforms?
That’s the primary purpose of this recipe, to learn how to improve our apps’ responsiveness and complexity by making the data sources work for us.
Getting ready
To build our use case, we will improve an application connected to an Azure SQL database. The database needs five tables that will make up our data catalog. The scripts to create them and the base apps are available in the GitHub repository mentioned in the Technical requirements section.
If you don’t have an Azure subscription, you can request a free version with credit for 30 days to test all the services available on this cloud platform...
