Where should SQL code be written and executed in Databricks?

In Databricks, SQL code is primarily written and executed in the context of SQL queries. This allows analysts and data engineers to execute commands that interact with the databases within Databricks, manipulate data, and perform various SQL operations directly through a user-friendly interface. Utilizing SQL queries enables users to leverage the full power of SQL for data analysis and reporting tasks, making it a central function within the Databricks environment.

While the Databricks workspace allows for broader tasks such as collaboration, workspace management, and various file operations, it does not specifically focus on SQL execution. The Databricks SQL dashboard serves as a platform for visualizing query results and monitoring performance, but it is not the execution layer for writing SQL code. Lastly, Databricks settings are meant for configuration and preferences, not for executing SQL commands. Hence, SQL queries stand out as the appropriate context for writing and executing SQL code, aligning perfectly with the requirements of data analysis in Databricks.