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Relational database schema normalization is NOT for:
- a)reducing the number of joins required to satisfy a query.
- b)eliminating uncontrolled redundancy of data stored in the database.
- c)eliminating number of anomalies that could otherwise occur with inserts and deletes.
- d)ensuring that functional dependencies are enforced.
Correct answer is option 'A'. Can you explain this answer?
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Verified Answer
Relational database schema normalization is NOT for:a)reducing the num...
- Relational database schema normalization is NOT for reducing the number of joins required to satisfy a query.
- Relational database schema normalization is for eliminating uncontrolled redundancy of data stored in the database.
- Relational database schema normalization is for eliminating number of anomalies that could otherwise occur with inserts and deletes.
- Relational database schema normalization is for ensuring that functional dependencies are enforced.
So, option (A) is correct.
Most Upvoted Answer
Relational database schema normalization is NOT for:a)reducing the num...
Explanation:
Normalization is a process used in database design to eliminate data redundancy and ensure data integrity. It involves breaking down a database into smaller, more manageable tables and establishing relationships between them. The main goal of normalization is to reduce data anomalies and improve the efficiency of data retrieval and manipulation operations.
Reducing the number of joins required to satisfy a query:
Normalization does not aim to reduce the number of joins required to satisfy a query. In fact, normalization often results in more joins since the data is distributed across multiple tables. However, this is not considered a drawback because modern database management systems are optimized to efficiently handle joins.
Eliminating uncontrolled redundancy of data stored in the database:
One of the primary objectives of normalization is to eliminate uncontrolled redundancy of data stored in the database. Redundancy occurs when the same data is stored in multiple places, leading to data inconsistencies and wastage of storage space. By breaking down the data into smaller tables and establishing relationships, normalization ensures that each piece of data is stored in only one place, reducing redundancy.
Eliminating the number of anomalies that could otherwise occur with inserts and deletes:
Normalization also aims to eliminate anomalies that could occur with inserts and deletes. Anomalies such as insertion, deletion, and update anomalies can occur when a database is not properly normalized. For example, if a table is not properly normalized and contains redundant data, an insertion of a new record may result in data inconsistencies or require updates in multiple places. By normalizing the database, these anomalies are reduced or eliminated, ensuring data consistency and integrity.
Ensuring that functional dependencies are enforced:
Functional dependencies are relationships between attributes in a database. Normalization helps ensure that functional dependencies are enforced by breaking down the data into smaller tables and establishing relationships based on these dependencies. By doing so, normalization helps maintain data integrity and consistency by preventing data anomalies and inconsistencies.
In conclusion, normalization is not aimed at reducing the number of joins required to satisfy a query. Instead, it focuses on eliminating data redundancy, reducing anomalies, and enforcing functional dependencies to improve data integrity and efficiency in a relational database.
Normalization is a process used in database design to eliminate data redundancy and ensure data integrity. It involves breaking down a database into smaller, more manageable tables and establishing relationships between them. The main goal of normalization is to reduce data anomalies and improve the efficiency of data retrieval and manipulation operations.
Reducing the number of joins required to satisfy a query:
Normalization does not aim to reduce the number of joins required to satisfy a query. In fact, normalization often results in more joins since the data is distributed across multiple tables. However, this is not considered a drawback because modern database management systems are optimized to efficiently handle joins.
Eliminating uncontrolled redundancy of data stored in the database:
One of the primary objectives of normalization is to eliminate uncontrolled redundancy of data stored in the database. Redundancy occurs when the same data is stored in multiple places, leading to data inconsistencies and wastage of storage space. By breaking down the data into smaller tables and establishing relationships, normalization ensures that each piece of data is stored in only one place, reducing redundancy.
Eliminating the number of anomalies that could otherwise occur with inserts and deletes:
Normalization also aims to eliminate anomalies that could occur with inserts and deletes. Anomalies such as insertion, deletion, and update anomalies can occur when a database is not properly normalized. For example, if a table is not properly normalized and contains redundant data, an insertion of a new record may result in data inconsistencies or require updates in multiple places. By normalizing the database, these anomalies are reduced or eliminated, ensuring data consistency and integrity.
Ensuring that functional dependencies are enforced:
Functional dependencies are relationships between attributes in a database. Normalization helps ensure that functional dependencies are enforced by breaking down the data into smaller tables and establishing relationships based on these dependencies. By doing so, normalization helps maintain data integrity and consistency by preventing data anomalies and inconsistencies.
In conclusion, normalization is not aimed at reducing the number of joins required to satisfy a query. Instead, it focuses on eliminating data redundancy, reducing anomalies, and enforcing functional dependencies to improve data integrity and efficiency in a relational database.
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Relational database schema normalization is NOT for:a)reducing the number of joins required to satisfy a query.b)eliminating uncontrolled redundancy of data stored in the database.c)eliminating number of anomalies that could otherwise occur with inserts and deletes.d)ensuring that functional dependencies are enforced.Correct answer is option 'A'. Can you explain this answer?
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