0
0
Snowflakecloud~30 mins

Why access control protects sensitive data in Snowflake - See It in Action

Choose your learning style9 modes available
Why access control protects sensitive data
📖 Scenario: You are working as a data engineer in a company that stores sensitive customer information in Snowflake. Your manager wants you to set up access control to protect this sensitive data from unauthorized users.
🎯 Goal: Build a simple Snowflake access control setup that restricts access to sensitive data by creating a role, assigning privileges, and granting the role to a user.
📋 What You'll Learn
Create a role named data_analyst
Grant SELECT privilege on the customers table to the data_analyst role
Create a user named analyst_user
Grant the data_analyst role to the analyst_user
💡 Why This Matters
🌍 Real World
Companies use access control in Snowflake to protect sensitive customer data from unauthorized access, ensuring compliance with privacy laws.
💼 Career
Understanding how to create roles, grant privileges, and assign roles to users is essential for data engineers and cloud administrators managing secure data environments.
Progress0 / 4 steps
1
Create the data_analyst role
Write a Snowflake SQL command to create a role called data_analyst.
Snowflake
Need a hint?

Use the CREATE ROLE statement followed by the role name.

2
Grant SELECT privilege on customers table to data_analyst
Write a Snowflake SQL command to grant SELECT privilege on the customers table to the data_analyst role.
Snowflake
Need a hint?

Use the GRANT SELECT ON TABLE customers TO ROLE data_analyst; command.

3
Create the user analyst_user
Write a Snowflake SQL command to create a user named analyst_user.
Snowflake
Need a hint?

Use the CREATE USER statement with a password.

4
Grant the data_analyst role to analyst_user
Write a Snowflake SQL command to grant the data_analyst role to the user analyst_user.
Snowflake
Need a hint?

Use the GRANT ROLE statement to assign the role to the user.