In an analytical data model, which type of table contains entities that are used to aggregate numeric values, where each entity is represented by a row with a unique key value?
In an analytical data model, which type of table contains entities that are used to aggregate numeric values, where each entity is represented by a row with a unique key value?
In an analytical data model, a fact table is typically used to aggregate numeric values, where each entity is represented by a row with a unique key value. Fact tables contain quantitative data about business processes and often include foreign keys that reference dimension tables. This allows for the aggregation and analysis of data across various dimensions, making the fact table central to multidimensional data modeling such as star and snowflake schemas.
it's B. The question is which type of table contains entities where each entity is represented by a row with a unique key value? [that are used to aggregate numeric values] --> this is on purpose noise
A Fact table typically stores quantitative data, often referred to as measures or metrics, and contains foreign keys that reference related Dimension tables. Fact tables are central to a star schema or snowflake schema design, which are common schema designs used in data warehousing and OLAP environments for supporting analytical querying and reporting.
C - Fact Table
INCORRECT. It's B, Dimension. Here from ChatGPT: In an analytical data model, the type of table that contains entities used to aggregate numeric values, with each entity represented by a row having a unique key value, is typically referred to as a "dimension table."
Just copied and posted exact same question to ChatGPT, and here is the response: In an analytical data model, the type of table that contains entities used to aggregate numeric values, with each entity represented by a row with a unique key value, is typically referred to as a "fact table." A fact table contains quantitative data (facts) about a business process or activity, and it often includes foreign keys that reference the dimension tables. These foreign keys allow the fact table to be joined with the dimension tables, which contain descriptive attributes related to the facts being measured. Fact tables are central to multidimensional modeling techniques such as star schemas and snowflake schemas, which are commonly used in data warehousing and business intelligence environments for analyzing and reporting on large volumes of data.
So, ChatGPT only responds based off of heuristics it's trained on, or data previously fed to it.
- Fact Table is the correct answer because it is designed to store and aggregate numeric values. The rows in the fact table represent individual transactions or events and are uniquely identified by a combination of foreign keys and sometimes a unique identifier (such as a transaction ID). - These numeric values (facts) are the ones aggregated to provide insights, such as total sales, average order value, or total profit, making the fact table central to quantitative analysis in an analytical data model.
Correct Option C: Fact tables contains all foreign keys from Dimensions. That is to make sure of data integrity in star schema.
The answer is without a doubt => C - Fact Table Typically dimension tables don't store numeric values and are not aggregated. They are used to aggregate information in the fact tables BY DIMENSION
Coined another way: What type of table contains entities used to aggregate numeric values, where each entity is represented by a row with a unique key value, in an Analytic Data Model? ChatGPT: In an Analytic Data Model, the type of table that contains entities used to aggregate numeric values, with each entity represented by a row with a unique key value, is typically referred to as a "fact table." A fact table is a central component of a multidimensional data model such as a star schema or snowflake schema. It contains quantitative data (facts) about a business process or activity and serves as the primary source for aggregating and analyzing numerical measures. Each row in the fact table represents a specific event or transaction, and the fact table usually includes foreign keys that reference dimension tables, which provide context and additional descriptive attributes for the facts. Fact tables play a crucial role in supporting analytical queries and reporting in data warehousing and business intelligence environments by enabling the aggregation of data across different dimensions, such as time, geography, product, or customer.
Dimension
B - Dimension Table
The question says, "...used to aggregate numeric values," Dimension Table contains all kinds of data elements, not only numeric values. Only a FACT table is composed as containing numeric values (the aggregation of all Dim Table Primary Keys).