This dbt package contains macros that can be (re)used across dbt projects with snowflake. dbt_snow_mask will help to apply Dynamic Data Masking using dbt meta.

To enable dbt_snow_mask to apply masking policies to models generated from custom materializations in dbt, configure the following parameter: custom_materializations_map …

2021年1月21日 · In essence, we want to run logic that masks data depending on who is running the query. We can achieve this with a case statement, the current_user () function, and the …

This dbt package contains macros that can be (re)used across dbt projects with snowflake. dbt_snow_mask will help to apply Dynamic Data Masking using dbt meta.

2025年1月23日 · dbt_snow_mask is a package designed to work with dbt to automate the application of masking policies in Snowflake by exploiting the meta property in dbt models. In …

2023年1月10日 · Dynamic Data Masking is a Column-level Snowflake Security feature that uses masking policies to selectively mask data in table and view columns at query time. Currently, …

Masking is controlled by meta in dbt resource properties for sources and models. Decide your masking policy name and add the key masking_policy in the column which has to be masked.

Use one of our community packages to refine the raw data in your warehouse.

2021年9月2日 · Vendors provide different permission models, dynamic data masking (Snowflake, Redshift, Synapse or Databricks), features like secure views, column and row-level access. …

2021年8月31日 · Unofficial subreddit for discussion relating to the Snowflake Data Cloud.