Which views are considered most efficient for General Modeling Principles?

Analytical views are considered the most efficient for general modeling principles because they are specifically designed to handle complex analytical queries and provide a robust framework for aggregating and analyzing data. These views allow you to define calculations, apply measures, and create hierarchical structures, making them ideal for analyzing large volumes of data efficiently.

Analytical views can summarize data effectively, making use of pre-aggregated data to deliver insights quickly. They support advanced data analysis through features like calculated measures and can join various tables seamlessly to create a coherent dataset tailored for business intelligence reporting.

Other view types, while useful, do not offer the same level of analytical capabilities. Schema views organize the underlying data structure but do not facilitate deep analysis. Column views primarily focus on columnar data storage and retrieval, lacking the sophisticated analytical functionalities. Attribute views are useful for defining reusable attributes or dimensions but are limited in their ability to perform complex calculations or aggregations required for comprehensive analysis. Therefore, for general modeling principles focused on data analysis, analytical views stand out as the most efficient option.