A healthcare organization is building a data warehouse to analyze patient admissions. It has a fact table containing admission dates, discharge dates, and lengths of stay. How would you design the dimension tables to support this fact table?
- Doctor information, Insurance details, Geographical data
- Patient details, Medical procedures, Time dimensions
- Room details, Equipment inventory, Employee information
- Treatment history, Billing information, Payment methods
In a healthcare scenario, dimension tables would typically include information about patients, medical procedures, and time dimensions. This supports analysis related to patient demographics, medical treatments, and temporal trends in admissions.
In denormalization, what is typically the impact on data redundancy and storage space?
- Decreases redundancy and decreases storage space
- Decreases redundancy and increases storage space
- Increases redundancy and decreases storage space
- Increases redundancy and increases storage space
In denormalization, there is typically an increase in both data redundancy and storage space. Redundancy is intentionally introduced to enhance query performance, and as a result, more storage space is consumed.
A manufacturing company wants to calculate the average production output per factory location. Which data modeling technique would you recommend for this scenario?
- Entity-Relationship Diagram
- Fact and Dimension Tables
- Snowflake Schema
- Star Schema
To calculate the average production output per factory location, the recommended data modeling technique is to use Fact and Dimension Tables. This approach involves creating a fact table containing production data and dimension tables providing details about factory locations, enabling efficient analysis.
What are clustering techniques used for in relational schema design?
- Creating composite keys
- Grouping related tables together on disk
- Implementing referential integrity
- Reducing data redundancy
Clustering techniques in relational schema design involve grouping related tables together on disk. This can enhance query performance by minimizing disk I/O when retrieving data from interconnected tables in a query.
A _______ constraint is used to ensure that a column value meets specific criteria.
- Check
- Foreign
- Primary
- Unique
Detailed A check constraint is used to ensure that a column value meets specific criteria or conditions. This helps in maintaining data accuracy and consistency by defining rules that must be satisfied for data in a column.