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Advancing Spark - Row-Level Security and Dynamic Masking with Unity Catalog 

Advancing Analytics
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11 сен 2024

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Комментарии : 10   
@prasad8195
@prasad8195 11 месяцев назад
Hello @Simon I require your assistance with a specific use case. Suppose I create a view using the `%sql` declaration with the `CREATE OR REPLACE VIEW` statement and grant the Databricks group 'X' usage access to the schema and catalog, along with select access to the view. Consequently, a user who is a member of the Databricks group 'X' will gain visibility of the object and the ability to retrieve data from the view. However, a challenge arises when I execute the `CREATE OR REPLACE VIEW` statement again. It appears that the previously granted permissions for Databricks group 'X' vanish, subsequently restricting users in that group from accessing the object. Could you please provide guidance /feedback on this ? Your assistance is greatly appreciated.
@ruchitasurve835
@ruchitasurve835 2 месяца назад
Does it work nested columns!
@bharathchunchu
@bharathchunchu 7 месяцев назад
How about performance if we use column level masking on huge tables ?
@DucNguyen-pw6hc
@DucNguyen-pw6hc 8 месяцев назад
how can it mask other datatype like timestamp or map? It's a very very simple example so I think it can not apply for data governance comprehensively
@rajkumarv5791
@rajkumarv5791 11 месяцев назад
Currently, Would it even be possible to a bit of both, .i.e. Row based masking a column. Ex: Hide the phone number/email if the person is not an admin.
@agasti2007
@agasti2007 11 месяцев назад
That is not bit of both. It is called column level security.
@theamazingworldofsonicandd2637
Will RLS and column masking be available on Delta Live Materialized Views?
@AdvancingAnalytics
@AdvancingAnalytics Год назад
Goooood question. Don't know yet, will dig into it!
@lodbrockcraft1369
@lodbrockcraft1369 Год назад
Does this configuration also work for synapse sql pool?
@AdvancingAnalytics
@AdvancingAnalytics Год назад
Nope, this is a Databricks Unity Catalog feature
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