How can I control who has access to my shared data?

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How can I control who has access to my shared data?

Daniel Steinhold Asked question August 29, 2023
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There are a few ways to control who has access to your shared data on Snowflake.

  • Use roles: Roles are a way to group together permissions. You can create roles that give users specific permissions to your shared data. For example, you could create a role that gives users permission to SELECT data from your shared tables.
  • Use grants: Grants are a way to give users specific permissions to specific objects. For example, you could grant a user permission to SELECT data from the customers table in your shared database.
  • Use data masking: Data masking is a technique that can be used to obscure sensitive data before it is shared with partners. This can help to protect your data from unauthorized access and misuse.

By using roles, grants, and data masking, you can control who has access to your shared data and what they can do with it.

Here are some additional details about each of these methods:

  • Roles: Roles are a powerful way to control access to your data. When you create a role, you can specify the permissions that the role grants. You can then assign the role to users or groups.

    For example, you could create a role called data_analyst that grants users permission to SELECT data from all tables in your shared database. You could then assign the data_analyst role to all of your data analysts.

  • Grants: Grants are a more granular way to control access to your data. When you grant a user permission to an object, you are specifying exactly what the user can do with the object.

    For example, you could grant a user permission to SELECT data from the customers table in your shared database. You could also grant the user permission to INSERT, UPDATE, or DELETE data from the table.

  • Data masking: Data masking is a technique that can be used to obscure sensitive data before it is shared with partners. This can help to protect your data from unauthorized access and misuse.

    There are a number of different ways to mask data. One common approach is to replace sensitive data with a placeholder value, such as "X" or "*****". Another approach is to scramble the data so that it is no longer readable.

    Data masking can be applied to individual columns or to entire tables. It can also be applied to data in transit or at rest.

By using roles, grants, and data masking, you can control who has access to your shared data and what they can do with it. This will help to protect your data from unauthorized access and misuse.

Daniel Steinhold Changed status to publish August 29, 2023
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