Why would a database be renormalized?
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A. B. C. D.B.
A database is renormalized when there is a need to improve processing efficiency.
There is, however, a risk to data integrity when this occurs.
Since it implies the introduction of duplication, it will not likely allow saving of storage space.
Renormalization is the process of restructuring a database schema in order to reduce data redundancy and improve data integrity. It involves breaking down large tables into smaller, more specialized tables and creating relationships between them using keys. The primary goal of renormalization is to eliminate data redundancy and ensure that each piece of data is stored in only one place in the database.
Answer A: To ensure data integrity
One of the main reasons for renormalizing a database is to ensure data integrity. By eliminating data redundancy, the chances of inconsistencies and anomalies arising in the data are reduced. For example, if a customer's name is stored in multiple tables, there is a risk of the name being updated in one table but not in the other, leading to inconsistent data. Renormalizing the database ensures that data is only stored in one place, reducing the risk of data inconsistencies.
Answer B: To increase processing efficiency
Renormalizing a database can also increase processing efficiency. When a database is denormalized (i.e., contains redundant data), it can be slower to query and update. Renormalizing the database reduces the amount of data that needs to be processed, which can lead to faster query performance and more efficient data updates.
Answer C: To prevent duplication of data
Renormalization helps prevent duplication of data by breaking down large tables into smaller, more specialized tables. Each piece of data is stored in only one place in the database, reducing the risk of data duplication. This not only helps ensure data integrity but also saves storage space.
Answer D: To save storage space
Renormalizing a database can help save storage space by reducing data redundancy. When data is stored in multiple places in a database, it takes up more storage space than necessary. Renormalizing the database ensures that each piece of data is stored in only one place, reducing the overall storage requirements of the database. This can be particularly important in large databases with a lot of redundant data.