Which two elements does a well-modeled Fact Table consist of?

A well-modeled Fact Table consists of Dimension Keys and Measures, which are integral components of a data warehouse schema.

Dimension Keys are critical because they establish relationships between the Fact Table and the associated Dimension Tables. These keys act as foreign keys that link to primary keys in the Dimension Tables, allowing analysts to perform queries that aggregate data across multiple dimensions. This is essential for any analytical operation since it provides context to the numerical data stored in the Fact Table, facilitating meaningful reporting and analysis.

Measures, on the other hand, are the quantitative data stored in the Fact Table. These can include figures such as sales amount, transaction count, or revenue, which analysts use to perform calculations, summaries, and aggregations. Measures are the core data points that enable analytical insights, revealing trends and patterns from the underlying data.

In summary, a well-structured Fact Table will always include Dimension Keys to ensure proper relationships with Dimensions, and Measures that provide the numerical data necessary for analysis. These elements work together to deliver a robust framework for data analysis in an analytical environment.