Titlebook: Snowflake Access Control; Mastering the Featur Jessica Megan Larson Book 2022 Jessica Megan Larson 2022 Snowflake Data Cloud.Role Based Acc

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Schema-Level Privilegesisions are more geared towards administrative roles, specialized roles like monitoring and logging, and setting up access for downstream data. In this chapter, we’re going to cover permissioning at the schema level, as shown in Figure 11-1.

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Table- and View-Level Privilegesaffect many objects at a time, since an account, database, and schema are containers for other types of objects. In this chapter, we’re going to cover implementing access controls at the table level, as shown in Figure 12-1.

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Column-Level Permissioning and Data Maskinget of rows they’re allowed to see. We could do this via row access policies, or using secure views combined with logic and/or a mapping table. In this chapter, we’re going to cover column-level permissioning and data masking, which we can visualize in the graphic shown in Figure 14-1.

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Account- and Database-Level Privilegesrchy. We can allocate access to objects at the highest level – the account level – and we can allocate access at the underlying levels – database, schema, table, row, and column – which we can visualize in Figure 10-1.

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rns such as regulatory compliance and data privacy.DescribesUnderstand the different access control paradigms available in the Snowflake Data Cloud and learn how to implement access control in support of data privacy and compliance with regulations such as GDPR, APPI, CCPA, and SOX. The information