Normalization-Decomposition & Lossless Join Property Video Lecture | Question Bank for GATE Computer Science Engineering - Computer Science Engineering (CSE)

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FAQs on Normalization-Decomposition & Lossless Join Property Video Lecture - Question Bank for GATE Computer Science Engineering - Computer Science Engineering (CSE)

1. What is normalization in the context of database design?
Ans. Normalization in database design is a process of organizing data in a relational database to eliminate redundancy and ensure data integrity. It involves breaking down a database into smaller, more manageable tables and establishing relationships between them. The goal of normalization is to minimize data duplication and improve efficiency in data retrieval and maintenance.
2. What is decomposition in database design?
Ans. Decomposition in database design refers to the process of breaking down a relation or table into multiple smaller relations or tables. This is done to eliminate anomalies and improve the overall design of the database. Decomposition is usually performed during the normalization process to ensure that each relation adheres to a specific normal form.
3. What is the lossless join property in database normalization?
Ans. The lossless join property is a desirable characteristic in database normalization. It ensures that when decomposing a relation into smaller relations, it is always possible to reconstruct the original relation through a join operation without losing any information. In other words, the lossless join property guarantees that no data is lost during the decomposition process.
4. What are the benefits of normalization and decomposition in database design?
Ans. Normalization and decomposition provide several benefits in database design. They help in reducing data redundancy and improving data integrity by eliminating anomalies such as insertion, update, and deletion anomalies. Normalization also improves query performance by minimizing the size of the tables and reducing the number of attributes in each table. It allows for efficient storage and retrieval of data, leading to better overall database management.
5. How can the lossless join property be ensured during decomposition?
Ans. To ensure the lossless join property during decomposition, various techniques can be used. One such technique is called dependency preservation. It involves analyzing the functional dependencies between attributes in the original relation and ensuring that these dependencies are preserved in the decomposed relations. Another technique is known as the decomposition algorithm, which follows a systematic approach to decompose a relation while preserving the lossless join property. By applying these techniques, it is possible to decompose a relation without losing any information.
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