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Questions and Answers
What is the purpose of the logical design phase?
What is the purpose of the logical design phase?
- To convert logical design into physical design
- To arrange the data into a series
- To define a model for the data warehouse (correct)
- To select entities, attributes, and relationships in a model
What is the primary unique identifier converted to during the physical design phase?
What is the primary unique identifier converted to during the physical design phase?
- Foreign key constraints
- Columns
- Primary key constraints (correct)
- Tables
What does the physical design phase deal with?
What does the physical design phase deal with?
- Selecting entities, attributes, and relationships in a model
- Defining a model for the data warehouse
- Storing and retrieving data effectively (correct)
- Arranging the data into a series
What is used to distinguish between one instance of an entity and another?
What is used to distinguish between one instance of an entity and another?
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What does the logical design phase involve checking?
What does the logical design phase involve checking?
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Study Notes
Logical Design Phase Purpose
- To translate user requirements into a logical model, independent of specific technologies
- Focuses on entities, attributes, and relationships, creating an abstract representation of data
Physical Design Phase Conversion
- Logical model is translated into a physical model
- Primary unique identifier from the logical model is converted to a physical model
- Physical model considers specific database management system and hardware constraints
Physical Design Phase Considerations
- Specific database management system
- Hardware and software limitations
- Storage structures and access methods
Distinguishing Entities
- Primary Key: A unique identifier used to distinguish between instances of an entity
- Ensures data integrity and efficient data access
Logical Design Phase Checks
- Data dependencies
- Data integrity
- Data consistency
- Data completeness
- Data accuracy
- Data security
- Data recovery
- Data performance
- Data scalability
- Data usability
- Data maintainability
- Data availability
- Data reliability
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