What is a dimensional view?
What is a dimensional view?
A dimensional view is a virtual star or snowflake schema layered over detail data. This type of view is used in the context of data warehousing and BI (Business Intelligence) to provide a simplified, query-optimized interface for end-users and analysts. It emphasizes the organization of data into dimensions (which provide context such as time, location, or product) and facts (quantitative data). This schema helps in efficiently performing complex queries for analytical purposes.
A. A virtual star or snowflake schema layered over detail data. A dimensional view is a virtual data model that is optimized for query performance and analytical reporting. It typically represents a subset of data from a larger data warehouse or data lake, and it is designed to support specific business needs or analytical use cases. Dimensional views are typically implemented as star or snowflake schemas, which are simplified data models that emphasize the relationships between dimensions and facts. This makes them well-suited for analytical queries that involve aggregating and filtering data based on dimensions.