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Normalization Covers & Canonical Cover Video Lecture | Question Bank for GATE Computer Science Engineering - Computer Science Engineering (CSE)
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FAQs on Normalization Covers & Canonical Cover Video Lecture - Question Bank for GATE Computer Science Engineering - Computer Science Engineering (CSE)
| 1. What is normalization and why is it important in database design? |  |
Normalization is the process of organizing data in a database to minimize redundancy and improve efficiency. It involves breaking down a database into multiple tables and establishing relationships between them. Normalization is important in database design as it helps eliminate data anomalies, ensures data integrity, and reduces storage space by avoiding unnecessary duplication of data.
| 2. What are normalization covers and how do they help in the normalization process? | |
Normalization covers, also known as functional dependency covers, are sets of functional dependencies that capture all the dependencies present in a given relation. They help in the normalization process by providing a systematic way to identify and decompose relations based on their functional dependencies. By analyzing the normalization covers, one can determine the appropriate normalization form for a relation and ensure that it adheres to the principles of normalization.
| 3. Can you explain the concept of canonical cover in the context of normalization? | |
The canonical cover is a minimal set of functional dependencies that is equivalent to the original set of functional dependencies in a relation. It represents the essential dependencies required to preserve all other dependencies in the relation. While the original set of functional dependencies may have redundancy or extraneous dependencies, the canonical cover eliminates these by removing redundant attributes and unnecessary dependencies. It helps in simplifying the design and ensures that the relation is in the highest possible normalization form.
| 4. How does normalization impact database performance and efficiency? | |
Normalization improves database performance and efficiency in several ways. By reducing redundancy, it minimizes the chances of data inconsistencies and update anomalies. This, in turn, improves data integrity and accuracy. Normalization also helps optimize storage space by eliminating duplicate data, leading to efficient disk usage. Additionally, normalized databases are easier to maintain and modify, as changes can be made in specific tables without affecting the entire database. Overall, normalization contributes to better data organization, retrieval speed, and overall system performance.
| 5. Are there any drawbacks or trade-offs associated with normalization? | |
While normalization offers numerous benefits, it can also introduce some trade-offs and drawbacks. One drawback is that normalized databases may require more complex queries and joins to retrieve data from multiple tables. This can potentially affect the query performance, especially in large-scale databases. Another trade-off is that normalization can lead to increased storage requirements due to the decomposition of data into multiple tables. It is crucial to strike a balance between normalization and denormalization, considering the specific requirements of the database system and its expected usage patterns.
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Dec 25, 2024 Last updated |
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