Star Schema Explained: Events vs. Business Entities
Question
Fill in the given blanks: Star schema is a modeling technique widely adopted by relational data warehouses.
In Star Schema, ……….
tables store events or observations and ………… tables define the business entities.
Answers
Explanations
Click on the arrows to vote for the correct answer
A. B. C. D. E.Correct Answer: A
Dimension tables define business entities i.e the things, you model.
Entities include people, products, concepts and places including time itself.
Fact tables store events or observations and can be stock balances, sales orders, temperatures and exchange rates, etc.
A fact table consists of dimension key columns related to dimension tables and numeric measure columns.
Option A is correct.
Fact tables and Dimension tables are the right answers.
Option B is incorrect.
Fact tables store events or observations and Dimension tables define business entities.
Option C is incorrect.
2D and 3D is not the right answer.
Option D is incorrect.Dimension and fact are two different types of tables used in Star Schema.
Option E is incorrect.
Dimension and fact are two different types of tables used in Star Schema.
To know more about Star Schema, please visit the below-given link:
In Star Schema, the tables are organized into two types: Fact tables and Dimension tables.
Fact tables store events or observations, which represent a specific business activity or process, such as sales transactions, website clicks, or customer orders. These tables contain numerical or quantitative data that can be aggregated and analyzed to provide insights into business performance. Fact tables typically have many rows and fewer columns.
Dimension tables, on the other hand, define the business entities, such as customers, products, or locations, that are involved in the events or observations captured in the Fact tables. Dimension tables contain descriptive data about the entities, such as names, addresses, and attributes. Dimension tables typically have fewer rows and more columns.
The Star Schema is a widely adopted modeling technique used by relational data warehouses to organize and store large amounts of data. It provides a simplified and denormalized view of the data, making it easier and faster to query and analyze. By separating the Fact and Dimension tables, it allows for efficient querying and aggregation of data, as well as easier data maintenance and management.
