True or False: Business logic should be applied within joins whenever possible.

Applying business logic within joins is generally not advisable as it can lead to complex and difficult-to-maintain SQL queries. Joins should primarily focus on linking tables based on their relationships so that the data can be accurately fetched.

When business logic is included in joins, it can complicate the query significantly, making it harder to troubleshoot and optimize. Instead, it is often better to handle business logic in derived tables, measures, or dimensions, where it can be more easily managed and adjusted without impacting the core relationships between data sets.

In addition, executing business logic outside of joins helps to maintain clarity and separation of concerns, ensuring that each part of the LookML code serves a distinct purpose. This makes it easier for developers to understand and modify the LookML as business requirements evolve.

In some situations, such as when calculating specific aggregations or conditional joins based on complex business rules, applying business logic might be necessary. However, as a general best practice, it is preferred to keep business logic out of joins to maintain clean, efficient, and understandable code structure.