When evaluating automation strategies, which option is viable for performing calculations in a relational dataset?

The most viable option for performing calculations in a relational dataset is through the use of Power Automate cloud flows. Power Automate enables users to automate workflows and integrate various applications and services. This includes performing calculations on data retrieved from relational databases and utilizing that data for further processing or triggering actions.

Power Automate can manipulate data, run conditions, and perform calculations, which is essential when dealing with relational datasets. The platform allows users to access and transform data in ways that align with complex business requirements.

While other options like calculated columns can indeed perform calculations within the context of entity records, they operate within a confined scope and are primarily used for creating computed fields in databases. Business rules provide a way to enforce data quality and apply set logic on field values but do not have the extensibility and capability of handling diverse data manipulation tasks needed for complex calculations like those achievable in Power Automate. Classic workflows also do not have the flexibility and wide range of integrations that Power Automate offers.

Thus, considering the broader context of automation strategies for relational datasets, Power Automate cloud flows provide the most robust and flexible solution for executing calculations effectively.