By default, the ACCOUNTADMIN role in Snowflake has access to the
SYSTEM$GLOBAL_ACCOUNT_SET_PARAMETER function. This function is used to set global account parameters, impacting the entire Snowflake account's configuration and behavior. The ACCOUNTADMIN role is the highest-level administrative role in Snowflake, granting the necessary privileges to manage account settings and security features, including the use of global account parameters.
References:
* Snowflake Documentation: SYSTEM$GLOBAL_ACCOUNT_SET_PARAMETER

To address query concurrency issues, a user can add additional clusters to the virtual warehouse. This allows for the distribution of queries across multiple clusters, reducing the load on any single cluster and improving overall query performance2.

Masking policies in Snowflake are created and applied at the column level. These policies are used to obfuscate sensitive data by masking the values in a specific column. Masking policies can enforce data privacy and protection measures by dynamically masking the data based on the role of the user querying the data.
References:
* Snowflake Documentation: Dynamic Data Masking

In a Snowflake role hierarchy, the top-level role is ACCOUNTADMIN. This role has the highest level of privileges and is capable of performing all administrative functions within the Snowflake account

The purpose of the Snowflake SPLIT_TO_TABLE function is to split a string based on a specified delimiter and flatten the results into rows. This table function is useful for transforming a delimited string into a set of rows that can be further processed or queried5.