topic You can now read data from another #databricks workspace using a native JDBC driver with the "spark.read.format("databricks")" or ... in DELETE

You can now read data from another #databricks workspace using a native JDBC driver with the "spark.read.format("databricks")" or ...

Hubert-Dudek — Mon, 03 Apr 2023 19:35:32 GMT

You can now read data from another #databricks workspace using a native JDBC driver with the "spark.read.format("databricks")" or "CREATE TABLE databricks_external_table USING" databricks commands. While delta sharing is typically preferred, this new feature makes it simple for example, to transfer data between regions where delta sharing may not be an option.

Re: You can now read data from another #databricks workspace using a native JDBC driver with the "spark.read.format("databricks")" or ...

jose_gonzalez — Mon, 10 Apr 2023 17:24:45 GMT

Thank you for sharing @Hubert Dudek !!!

Re: You can now read data from another #databricks workspace using a native JDBC driver with the "spark.read.format("databricks")" or ...

RDD1 — Mon, 08 May 2023 18:28:39 GMT

Can you explain me the Delta Sharing from the Unity Catalog perspective, how it makes difference on Unity Catalog enabled ones with that of not enabled ones.