True or False: LookML separates structure from content, so the query structure is independent of the query content.

True or False: LookML separates structure from content, so the query structure is independent of the query content.

• A. True
• B. False
• C. Only in some cases
• D. Depends on the model

Answer: (A)

The statement is true because LookML is designed to separate the structure of the data from its content. This means that the way data is structured—through dimensions, measures, and views—does not dictate the actual values or content of the data being queried. When a developer defines a model in LookML, they focus on how the data should be represented and accessed, including the metrics and attributes available for users to explore. This separation allows for greater flexibility in querying, as users can modify their queries based on the defined structures without altering the underlying data itself. It ensures that developers can change the structure of the queries independently from the data, making Looker a powerful tool for data exploration and analytics as it streamlines the process of building and maintaining analytical workflows.

The statement is true because LookML is designed to separate the structure of the data from its content. This means that the way data is structured—through dimensions, measures, and views—does not dictate the actual values or content of the data being queried. When a developer defines a model in LookML, they focus on how the data should be represented and accessed, including the metrics and attributes available for users to explore. This separation allows for greater flexibility in querying, as users can modify their queries based on the defined structures without altering the underlying data itself. It ensures that developers can change the structure of the queries independently from the data, making Looker a powerful tool for data exploration and analytics as it streamlines the process of building and maintaining analytical workflows.