There is a Redshift table that is storing information for the employees.
The Manager of the department needs to be able to see the information for the employees only in their respective department.
How can you accomplish this in Redshift without the need for too much maintenance overheads?
Click on the arrows to vote for the correct answer
A. B. C. D.Answer - A.
Options B and C are incorrect since this would add more maintenance overhead to the solution.
Option D is incorrect since this is used to define multiple query queues and to route queries to the appropriate queues at runtime.
You can use views to hide and show only relevant information.
The AWS Documentation mentions the following.
To create a standard view, you need access to the underlying tables.
To query a standard view, you need select privileges for the view itself, but you don't need select privileges for the underlying tables.
To query a late binding view, you need select privileges for the late binding view itself.
You should also make sure the owner of the late binding view has select privileges to the referenced objects (tables, views, or user-defined functions).
Options B and C are incorrect since this would add more maintenance overhead to the solution.
Option D is incorrect since this is used to define multiple query queues and to route queries to the appropriate queues at runtime.
For more information on creating views, please refer to the below URL.
https://docs.aws.amazon.com/redshift/latest/dg/r_CREATE_VIEW.htmlThe best option to accomplish this requirement is to create a view in Redshift that can be used by the managers.
Option A is the correct answer because it is the most efficient and cost-effective approach to implement this requirement. Creating separate tables or clusters for each manager is not scalable and increases the maintenance overheads, as it requires managing multiple tables and clusters.
Creating a view in Redshift provides a virtual table that can be used to restrict data access based on specific criteria, in this case, the department of the manager. Views can be easily maintained and updated without changing the underlying data tables. The managers can use SQL queries to access the data from the view, which will only show them the data for their respective departments.
Option D, creating a work management queue, is not relevant to this requirement as it is used to manage the execution of ETL jobs and other operations in Redshift.
In summary, creating a view in Redshift is the best approach to restrict access to employee information based on department, without the need for too much maintenance overhead.