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ozaaditya

Hello Databricks community!If you're eager to explore how Databricks can revolutionize your data workflows, I highly recommend checking out the Databricks Demo Center. It’s packed with insights and tools designed to cater to both beginners and season...

ozaaditya

Yes, you are correct. Databricks cleanrooms are built on Delta Sharing, which is foundational to how data is securely shared in Databricks. Since Delta Sharing itself does not natively support column-level masking or row-level security, these feature...

ozaaditya

Currently, Delta Sharing does not natively support column-level masking or row-level security directly within its sharing framework. This means you cannot apply masking dynamically to data shared through Delta Sharing at the protocol level.You can re...

ozaaditya · 12-04-2024

By looking at your code, I can suggest a few changes that you can try out.Instead of spark.readStream, you can use bronze_df = dlt.read_stream("Transactions_Bronze").Revised Code:bronze_df = dlt.read_stream("Transactions_Bronze")dlt.apply_changes(sou...

ozaaditya · 12-04-2024

In my opinion, the reason for not using both options simultaneously is that the framework would face a logical conflict:Should it stop reading after the maximum number of files is reached, even if the size limit hasn’t been exceeded?OrShould it stop ...

ozaaditya · 12-04-2024

Hi,You can take the help of the documentation shared below,https://learn.microsoft.com/en-us/azure/databricks/query-federation/postgresql

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Re: Databricks Lake House Data Clean Room Utilization

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