Q4 in the figure employee and car license have a one to one...

Q4. In the figure, EMPLOYEE and CAR LICENSE have a one-to-one relationship. Even though the CAR LICENSE entity is optional (not every employee necessarily has a car license), it might still make sense to merge these entities if most employees do have a license and if both sets of data are frequently accessed together. How would you denormalize this relationship into a single table, and what are the potential advantages (e.g., fewer joins) and disadvantages (e.g., redundant or empty fields) of merging these two entities? EMPLOYEE CAR LICENSE EmployeelD EmployeeName Has/Is Belong To- License Number Expiry Date EmployeePhoneNumber

Transcript

00:01 Hello students, there are two sub questions in here where the first is the index recommendation for the mobile service provider database.

00:11 So based on the information needs provided, so here are the types of the index that could be recommended for the given situation.

00:19 Like the first is to list of the users stored by the zip code.

00:33 So create an index on the zip code attribute in the zip relation to quickly retrieve the users based on their zip code.

00:43 The next is like to access the access to a specific client to a specific client.

00:54 So create an index on the client name attribute in an advert in an the advertised client relations to quickly access a specific client's information.

01:07 The next is you need to list of the users stored by users stored by the internet area by the internet interest area where you need to create a where you need to create the composite index on the internet on the interest id and the users interest incentive in the user interest area relation to that to the efficient retrieve the users within the each interest area based on the intensity of the interest.

01:49 So after that you need to list of the users users with this within a specific range within a specific age range.

02:06 So create a composite index on a user year of the birth category id zip code in the user relation to the list users within a specific age range grouped by the categories and the zip code.

02:20 So next like the next is to you need to access to a specific users by the to the specific user by the email address by an email address.

02:37 So where you need to create an index on the user email address in the user relation to quickly retrieve the information about the specific users based on their email address.

02:51 So the justification of these index recommendation is to optimize the retrieval of the information based on the specific needs.

02:58 So index can significantly improve a query performance by in by allowing the database to quickly locate the relevant records within the scanning entry table.

03:08 So the next part is to the opportunities for the denormalization opportunities for the denormalization denormalization with the denormalization it involves the combining the normalized relation to reduce the needs for the joints and improve the query performance at the expense of this some redundancy...

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