What permission should User1 be assigned to read all Spark data in OneLake security configuration?

In the context of OneLake security configurations, assigning the permission to "ReadAll" to User1 is essential for granting the user the ability to read all Spark data effectively.

The "ReadAll" permission is specifically designed to enable a user to access all data in a given context without restrictions. This means that User1 would have comprehensive access to not just individual datasets or specific data within Spark but every dataset configured under the permissions associated with OneLake.

This is particularly important in scenarios where a user may need to perform analytics or data exploration over multiple datasets, and having limited permissions (like just "Read") could potentially restrict access to necessary information. The broader scope of "ReadAll" allows for more efficient workflows for tasks that involve data discovery and analysis, ensuring that User1 can access every piece of Spark data they need.

On the other hand, other permissions such as "Read" or "ReadData" typically imply limitations that could prevent the user from accessing the full breadth of available data, and "Write" would grant permission to modify or add data, rather than just reading it. Thus, "ReadAll" is the appropriate choice for the requirement of reading all Spark data in this security setup.