https://community.databricks.com/t5/data-engineering/azure-databricks-with-storage-account-as-data-layer-and-dbfs/m-p/25640#M17875 <OL><LI>DBFS is just an abstraction on cloud storage </LI></OL><P>By default when you create a workspace, you get an instance of DBFS - so-called&nbsp;<A href="https://docs.databricks.com/data/databricks-file-system.html#dbfs-root-1" alt="https://docs.databricks.com/data/databricks-file-system.html#dbfs-root-1" target="_blank">DBFS Root</A>. Plus you can mount additional storage accounts under the&nbsp;</P><P>/mnt</P><P></P><P>&nbsp;folder. Data written to mount point paths (</P><P>/mnt</P><P>) is stored outside of the DBFS root. Even though the DBFS root is writeable, It's recommended that you store data in mounted object storage rather than in the DBFS root. The mounted storage does't change the performance of read and write , spark stills read the data in form of chunks and parallel processing is still applicable so there is no question of production degradation </P> Tue, 08 Jun 2021 06:55:31 GMT User16826994223 2021-06-08T06:55:31Z https://community.databricks.com/t5/data-engineering/azure-databricks-with-storage-account-as-data-layer-and-dbfs/m-p/25639#M17874 <OL><LI>What is the difference between ADLS mounted ON DataBricks and dbfs </LI><LI> does the Mount of ADLS on databricks make gives any performance benefit , is the mounted ADLS still behave as object storage or it become simple storage </LI></OL><P></P> Tue, 08 Jun 2021 06:55:08 GMT https://community.databricks.com/t5/data-engineering/azure-databricks-with-storage-account-as-data-layer-and-dbfs/m-p/25639#M17874 User16826994223 2021-06-08T06:55:08Z https://community.databricks.com/t5/data-engineering/azure-databricks-with-storage-account-as-data-layer-and-dbfs/m-p/25640#M17875 <OL><LI>DBFS is just an abstraction on cloud storage </LI></OL><P>By default when you create a workspace, you get an instance of DBFS - so-called&nbsp;<A href="https://docs.databricks.com/data/databricks-file-system.html#dbfs-root-1" alt="https://docs.databricks.com/data/databricks-file-system.html#dbfs-root-1" target="_blank">DBFS Root</A>. Plus you can mount additional storage accounts under the&nbsp;</P><P>/mnt</P><P></P><P>&nbsp;folder. Data written to mount point paths (</P><P>/mnt</P><P>) is stored outside of the DBFS root. Even though the DBFS root is writeable, It's recommended that you store data in mounted object storage rather than in the DBFS root. The mounted storage does't change the performance of read and write , spark stills read the data in form of chunks and parallel processing is still applicable so there is no question of production degradation </P> Tue, 08 Jun 2021 06:55:31 GMT https://community.databricks.com/t5/data-engineering/azure-databricks-with-storage-account-as-data-layer-and-dbfs/m-p/25640#M17875 User16826994223 2021-06-08T06:55:31Z