What should be considered a best practice for column settings in Appian?

Making columns required by default is considered a best practice in Appian because it enforces data integrity and ensures that essential information is captured during record creation or updates. By requiring certain columns, applications can prevent incomplete records, which can lead to issues in data analysis, reporting, and application functionality. This approach promotes a more comprehensive and consistent dataset, which is crucial for the application's performance and reliability.

In contrast, allowing all columns to be nullable can lead to ambiguous data, where important details might be absent. Using only standard data types, while generally a good practice for compatibility and performance reasons, does not provide the same level of data validation. Renaming columns to drop vowels may improve brevity but can make the database schema less readable and intuitive for developers and users alike. Overall, ensuring that key columns are required balances flexibility and data integrity, promoting a robust application design.