What is the difference between horizontal and vertical data partitioning?
- Horizontal partitioning divides a table into columns based on a condition, while vertical partitioning divides a table into rows
- Horizontal partitioning divides a table into rows based on a condition, while vertical partitioning divides a table into columns
- Horizontal partitioning is suitable for OLAP systems, while vertical partitioning is suitable for OLTP systems
- Horizontal partitioning is used for range-based data, while vertical partitioning is used for hash-based data
Horizontal data partitioning involves dividing a table into rows based on a condition, allowing for efficient storage and retrieval of specific subsets of data. Vertical partitioning, on the other hand, involves dividing a table into columns, typically based on the frequency of access, reducing I/O overhead.
A Data Mart typically focuses on a specific _______ area.
- Chronological
- Functional
- Geographic
- Organizational
A Data Mart typically focuses on a specific functional area. Unlike a Data Warehouse, which covers the entire organization, a Data Mart is designed for a particular business unit or department's specific needs, providing more targeted insights.
Database _______ involves fine-tuning the physical design and configuration parameters to optimize performance.
- Clustering
- Optimization
- Scaling
- Tuning
Database tuning involves adjusting the physical design and configuration parameters of a database to optimize its performance. This includes optimizing queries, indexing, and other settings to ensure efficient data retrieval and processing. Tuning is an ongoing process to adapt the database to changing requirements and workload.
Explain the concept of a multivalued attribute in database modeling.
- An attribute that can have multiple values for each entity
- An attribute that is derived from another attribute
- An attribute that is not essential for an entity
- An attribute with a single value for each entity
A multivalued attribute in database modeling is an attribute that can have multiple values for each entity. This concept is used to represent situations where an entity can have multiple values for a specific attribute, without creating a separate entity for each value.
What does the NOT NULL constraint specify in a column definition?
- Allows NULL values
- Defines data types
- Forbids NULL values
- Requires unique values
The NOT NULL constraint in a column definition specifies that the column must not contain NULL values. It enforces the presence of data in that column, ensuring that each record has a valid and meaningful value for that particular attribute.
What does cardinality signify in the context of entity relationships?
- The data type of an attribute
- The importance of an entity in a database
- The number of instances of one entity that can be related to another entity
- The uniqueness of an attribute within an entity
In the context of entity relationships, cardinality signifies the number of instances of one entity that can be related to another entity. It helps define the nature and limits of the association between entities.
Which feature in database design tools allows users to visually create Entity-Relationship Diagrams (ERDs)?
- ERD Designer
- Form Builder
- Query Editor
- Report Designer
The ERD Designer feature in database design tools allows users to visually create Entity-Relationship Diagrams (ERDs). ERDs are graphical representations of the entities and their relationships in a database schema. This feature helps in designing and understanding the relationships between different entities in the database.
A relationship where each occurrence in one entity may or may not have a corresponding occurrence in another entity is called _______ relationship.
- Binary
- Quaternary
- Ternary
- Unary
A relationship where each occurrence in one entity may or may not have a corresponding occurrence in another entity is called a Binary relationship. It involves two entities and is a fundamental concept in data modeling.
In an ERD, what does a cardinality constraint of "1 to Many" indicate?
- Each entity instance can be associated with multiple instances
- Each entity instance can be associated with only one instance
- Each entity instance can be associated with zero or one instance
- Only one entity instance can be associated with only one instance
In an ERD, a cardinality constraint of "1 to Many" indicates that each instance of one entity can be associated with multiple instances of another entity. This means that for each occurrence of the first entity, there can be multiple occurrences of the second entity.
What is the process of decomposing a relation into smaller relations that meet normalization requirements known as?
- Abstraction
- Aggregation
- Decomposition
- Integration
The process of decomposing a relation into smaller relations that meet normalization requirements is known as decomposition. It involves breaking down a table into smaller, more manageable tables to achieve higher normal forms and improve data integrity.
How does a Data Mart differ from a Data Warehouse in terms of data volume and specificity?
- Data Marts have larger data volumes and broader specificity
- Data Marts have larger data volumes and narrower specificity
- Data Marts have smaller data volumes and broader specificity
- Data Marts have smaller data volumes and narrower specificity
Data Marts typically have larger data volumes compared to the broader-scoped Data Warehouses. However, Data Marts have narrower specificity, focusing on a subset of data relevant to a specific business unit or department. This allows for more targeted and efficient analysis.
The _______ model is designed to prevent unauthorized users from accessing or modifying data in a database.
- Authentication
- Authorization
- Encryption
- Security
The Authorization model is designed to prevent unauthorized users from accessing or modifying data in a database. It involves defining and managing user privileges and permissions to ensure that only authorized users can perform specific actions on the database.