Scenario: Your company is implementing a data warehouse to analyze sales data from multiple regions. As part of the design process, you need to determine the appropriate schema for the fact and dimension tables. Which schema would you most likely choose and why?
- Bridge schema
- Fact constellation schema
- Snowflake schema
- Star schema
In this scenario, a Star schema would be the most appropriate choice. It consists of one or more fact tables referencing any number of dimension tables, forming a star-like structure. This schema simplifies queries and ensures better performance due to denormalization, making it suitable for analytical purposes like analyzing sales data across multiple dimensions.
Loading...
Related Quiz
- The metadata repository serves as a central ________ for storing and accessing information related to data lineage.
- Scenario: A data anomaly is detected in the production environment, impacting critical business operations. How would you utilize data lineage and metadata management to identify the root cause of the issue and implement corrective measures swiftly?
- Normalization aims to reduce ________ by eliminating redundant data and ensuring data ________.
- The process of optimizing the performance of SQL queries by creating indexes, rearranging tables, and tuning database parameters is known as ________.
- Scenario: You are tasked with assessing the quality of a large dataset containing customer information. Which data quality assessment technique would you prioritize to ensure that the data is accurate and reliable?